Tootfinder

This https://arxiv.org/abs/2503.10716 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_grqc_…

Warm Inflation in $f(Q)$ gravity
This paper investigates warm inflation within the context of $f(Q)$ gravity for the Friedmann-Robertson-Walker spacetime. We formulate the governing field equations using slow-roll approximations and examine a power-law model to evaluate critical inflationary parameters including slow-roll parameters, scalar and tensor power spectra, and their associated spectral indices. The distinguishing feature of warm inflation lies in its fundamental premise that both radiation and inflaton coexist and in…

Das #DNIP Briefing, heute mit einer Microsoft-Salesshow in Bern und … Killerzahnbürsten https://dnip.ch/2025/06/03/dnip-briefing-27-parmelin-mit-p-wie-pr/

Ukraine: 76 Drohnen und sieben Raketen aus Russland
Die russischen Streitkräfte haben nach ukrainischen Angaben in der Nacht zu Sonntag mit 76 Drohnen und sieben Raketen angegriffen. Dabei seien acht Ziele in der gesamten Ukraine getroffen worden, teilt die ukrainische Luftwaffe auf Telegram mit. Die Luftabwehreinheiten hätten 60 Drohnen und eine Rakete der russischen Streitkräfte zerstört.
📑

Ukraine-Liveblog: ++ Selenskyj kündigt Austausch von 1.200 Kriegsgefangenen an ++
Der ukrainische Präsident Selenskyj hat den Austausch weiterer Kriegsgefangener angekündigt. In der russischen Stadt Sotschi ist durch herabgestürzte Teile einer abgeschossenen Drohne ein Öllager in Brand geraten.

[2025-06-02 Mon (UTC), no new articles found for q-fin.TR Trading and Market Microstructure]
#toXiv_bot_toot

This https://arxiv.org/abs/2505.20002 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Efficient Gaussian Mixture Filters based on Transition Density Approximation
Gaussian mixture filters for nonlinear systems usually rely on severe approximations when calculating mixtures in the prediction and filtering step. Thus, offline approximations of noise densities by Gaussian mixture densities to reduce the approximation error have been proposed. This results in exponential growth in the number of components, requiring ongoing component reduction, which is computationally complex. In this paper, the key idea is to approximate the true transition density by an a…

Kabelbrand im Kindergarten #Unterfarrnbach Fürth.

Replaced article(s) found for cs.OS. https://arxiv.org/list/cs.OS/new
[1/1]:
- Breaking the Boundaries of Long-Context LLM Inference: Adaptive KV Management on a Single Commodi...
He Sun, Li Li, Mingjun Xiao, Chengzhong Xu

Nockherberg: Stephan Zinner wird Nachfolger von Maxi Schafroth
Nach fünf Auftritten endet die Ära Maxi Schafroth als Fastenredner - Stephan Zinner wird der Nachfolger - Thomas Lienenlüke bleibt Co-Autor.
https://www.kabarett-news.de/News-vom-02.08.2025-stephan-zinne…

US-Geschworenengericht: Tesla trägt Mitschuld an tödlichem Unfall mit Autopilot
Tesla verliert einen Prozess wegen fahrlässiger Tötung durch "Autopilot" und soll Hunderte Millionen US-Dollar Schadenersatz zahlen. Der Autobauer wehrt sich.

Heute ist wieder Dienstag, da erwartet euch das (subjektiv) Wichtigste aus der letzten Digitalwoche im #DNIPBriefing. Für euch selbst, für Kaffeeklatsch oder als Anregung zur Weltverbesserung. Ganz wie ihr mögt!
1️⃣ Was schon letztes Jahr für Aufregung sorgte, sich aber als PR-Gag herausstellte: Die Zahnbürsten haben die Weltherrschaft an sich gerissen.
Oder petzen jetzt zumind…

Bullshit or water, humanity, the choice is yours. Choose wisely. https://mastodon.green/@gerrymcgovern/114783392100794507

We Also Broke Into an Airbase to Stop War Crimes. Thankfully, We Were Two Nice White Boys
https://novaramedia.com/2025/06/27/we-also-broke-into-an-airbase-to-stop-war-crimes-thankfully-we-were-two-nice-white-boys/

We Also Broke Into an Airbase to Stop War Crimes. Thankfully, We Were Two Nice White Boys
In 2017, we broke into a BAE Systems airfield to stop jets from going to bomb Yemen, write Sam Walton and Daniel Woodhouse. Our lenient treatment exposes the Palestine Action ban for what it is: racist and politically motivated.

Los Padres National Forest Faces New Threat with Rollback of ‘Roadless Rules’

The Trump Administration’s Plan Would Open 600,000 Acres to Commercial Logging, Possible Infrastructure Development
https://www.independent.com/2025/06/2…

Los Padres National Forest Faces New Threat with Rollback of ‘Roadless Rules’
The Trump administration’s plan would open 600,000 acres of roadless areas to commercial logging, vegetation management, and possible infrastructure development.

Spam calls 🙄

読まずにはいられない、気が付いたら夢中で読んでた、ぐらいの作品だけでいいと思います。

Perplexity launches a $200/month Max plan with unlimited Labs access, early access to features like Comet browser, and priority use of models like o3-pro (Maxwell Zeff/TechCrunch)
https://techcrunch.com/2025/07/02/perplexity-launches-a-200-mo…

Perplexity launches a $200 monthly subscription plan | TechCrunch
Perplexity launched a $200 monthly subscription plan this week, becoming the latest AI provider to offer a hyper-premium tier.

@… no worries! just wanted to know if they changed it

It’s just a minor thing, but I really hope Murkowski gets nailed to the wall for this. “I opposed it but I voted for it so the House can change it” my ass.

Photo of the Day.
Israel threatened reprisals if the press filmed Gaza from above during airdrops.
This is why. A scene of destroyed & burnt out buildings in what is left of Gaza City, the pre-war home to 800,000 people.
Credit to Post photographer Heidi Levine who defied the ban & took this.
[Post by @newseye on Bluesky: …

News Eye (@newseye.bsky.social)
Photo of the Day. Israel threatened reprisals if the press filmed Gaza from above during airdrops. This is why. A scene of destroyed & burnt out buildings in what is left of Gaza City, the pre-war home to 800,000 people. Credit to Post photographer Heidi Levine who defied the ban & took this.

Linkdump 27/2025 – #fundstücke

Interested in how #architecture can be understood sociologically?
In this podcast hosted by Alon Schwartz, I'm discussing how architecture can integrate human needs and usage processes in workplaces
So much fun to rise to the deep and challenging questions Alon threw at me

space design with Kerstin sailer- Sociology and Architecture
עיצוב מרחב עם אלון שוורץ · Episode

#supervillainabookorplay
#HashtagGames
"Much Ado About Ultron"
Witty banter, mistaken identities, and one AI bent on human extinction.
Shakespeare would love it.

Dallas Cowboys 'Mount Rushmore' of 2000s revealed https://www.si.com/nfl/cowboys/news/dallas-cowboys-mount-rushmore-2000s-revealed

One rule for thee, another for me. #LLM #AI #GenAI

Use cookies in shiny apps: #rstats #shiny

Warum muss ich gerade an @… denken?

Design for universal wellbeing.

Why I avoid the term human-centric and what I mean by universal wellbeing.

https://axbom.com/design-for-universal-wellbeing/

Ich war stets bemüht. @… @…

KAMUNA 2025
#KAMUNA2025

NATO chief urges continued US support for Ukraine as Pentagon halts arms shipments: https://benborges.xyz/2025/07/02/nato-chief-urges-continued-us.html

Today’s global civilisation, however, is deeply interconnected and unequal and could lead to the worst societal collapse yet, he says. The threat is from leaders who are “walking versions of the dark triad” – narcissism, psychopathy and Machiavellianism – in a world menaced by the climate crisis, nuclear weapons, artificial intelligence and killer robots.
...
If citizens’ juries and wealth caps seem wildly optimistic, Kemp says we have been long brainwashed by rulers justifying their dominance, from the self-declared god-pharaohs of Egypt and priests claiming to control the weather to autocrats claiming to defend people from foreign threats and tech titans selling us their techno-utopias. “It’s always been easier to imagine the end of the world than the end of Goliaths. That’s because these are stories that have been hammered into us over the space of 5,000 years,” he says.
https://www.theguardian.com/environment/2025/aug/02/self-termination-history-and-future-of-societal-collapse

Hard to describe that one, but give it time to develop... some Latin influences, warm Moog bass, generally loose, understated, slightly melancholic, minimal...
Map.ache - Loosing Is Not An Option (2018)
https://www.youtube.com/watch?v=miRAyXQ1DXE

Da kommt jemand d'rauf, dass #Google bei #Android ohne Nutzerinteraktion Daten in deren #Cloud abschnorchelt.
Statt hier auf

Het doel van mijn crowdfunding is gehaald 🎉 maar ik ben nog niet klaar. In de bonusfase zamel ik geld in voor meer schrijftijd, want een boek schrijf je niet in 2 maanden. Meer pre-orders = meer tijd = meer verdieping = meer plezier. Bestellen en doneren kan hier: https://www.voordekunst.nl/project…

Ouwe serie terugkijken waarin een redelijk bekende actrice laat zien dat ze geen kaas gegeten heeft van het snijden van wortels...
(Laat r dan gewoon in een pannetje roeren... 🙃😅)

This https://arxiv.org/abs/2503.14418 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Distributed RISE-based Control for Exponential Heterogeneous Multi-Agent Target Tracking of Second-Order Nonlinear Systems
A distributed implementation of a Robust Integral of the Sign of the Error (RISE) controller is developed for multi-agent target tracking problems with exponential convergence guarantees. Previous RISE-based approaches for multi-agent systems required 2-hop communication, limiting practical applicability. New insights from a Lyapunov-based design-analysis approach are used to eliminate the need for multi-hop communication required in previous literature, while yielding exponential target tracki…

This https://arxiv.org/abs/2505.16380 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_grqc_…

On the Identification of Exotic Compact Binaries with Gravitational Waves: a Phenomenological approach
Gravitational wave (GW) astronomy has been hailed as a gateway to discovering unexpected phenomena in the universe. Over the last decade there have been close to one hundred GW observations of compact-binary mergers. While these signals are largely consistent with mergers of binary black holes, binary neutron stars, or black hole-neutron star systems, some events suggest the intriguing possibility of binaries involving exotic compact objects (ECOs). Identifying and characterising an ECO merger …

This https://arxiv.org/abs/2503.20787 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

Advanced simulation paradigm of human behaviour unveils complex financial systemic projection
The high-order complexity of human behaviour is likely the root cause of extreme difficulty in financial market projections. We consider that behavioural simulation can unveil systemic dynamics to support analysis. Simulating diverse human groups must account for the behavioural heterogeneity, especially in finance. To address the fidelity of simulated agents, on the basis of agent-based modeling, we propose a new paradigm of behavioural simulation where each agent is supported and driven by a …

[2025-07-03 Thu (UTC), no new articles found for cs.OS Operating Systems]
toXiv_bot_toot

Wettlauf um Smart Glasses: Droht Apple, das Rennen zu verlieren?
Apple hat bei künstlicher Intelligenz den Anschluss verloren. Ein ähnlicher Rückstand könnte sich bei Smart Glasses und AR-Brillen wiederholen. Eine Analyse.

@… I have this song in my head now but I thank you for it

This https://arxiv.org/abs/2503.14372 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Online ResNet-Based Adaptive Control for Nonlinear Target Tracking
A generalized ResNet architecture for adaptive control of nonlinear systems with black box uncertainties is developed. The approach overcomes limitations in existing methods by incorporating pre-activation shortcut connections and a zeroth layer block that accommodates different input-output dimensions. The developed Lyapunov-based adaptation law establishes exponential convergence to a neighborhood of the target state despite unknown dynamics and disturbances. Furthermore, the theoretical resu…

This https://arxiv.org/abs/2505.14446 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_grqc_…

Light deflection in unified gravity and measurable deviation from general relativity
Light, though massless, does not travel in a perfectly straight line when it passes near a massive object. Instead, it follows the curvature of spacetime - a phenomenon predicted by Einstein's general theory of relativity. This effect, known as gravitational lensing, occurs because massive bodies like stars, galaxies, or black holes distort the fabric of spacetime around them, bending the path of light much like a lens bends rays in optics. In this work, we study gravitational lensing using the…

[2025-06-03 Tue (UTC), no new articles found for q-fin.TR Trading and Market Microstructure]
#toXiv_bot_toot

Replaced article(s) found for cs.OS. https://arxiv.org/list/cs.OS/new
[1/1]:
- Lazarus Group Targets Crypto-Wallets and Financial Data while employing new Tradecrafts
Alessio Di Santo

Dev.to author Karm Patel writes about different standardized ways to go about git branching for different software development workflows in 2025. From Git Flow to Forking Workflows, each is evaluated exposing their pros and cons weighting each approach's complexity vs its contribution to best modeling your workflow.
"Git Branching Strategies: A Comprehensive Guide"

Dozens of Democrats in the Texas House of Representatives are heading to Illinois to deny a necessary quorum for the GOP to move forward with redistricting efforts.
Roughly 30 Democrats are expected to stay for the week in a plan brokered with Illinois Gov. JB Pritzker.

Texas Democrats head to Illinois to deny Republicans a quorum on redistricting
Dozens of Democrats in the Texas House of Representatives are heading to Illinois to deny a necessary quorum for the GOP to move forward with redistricting efforts. The roughly 30 Democrats are expected to stay for the week in a plan brokered with Illinois Gov. JB Pritzker. Former Attorney General Eric Holder joins MSNBC's Rev. Al Sharpton to discuss the move.

Strategic pain point: why Russia is trying to capture Pokrovsk #shorts: https://benborges.xyz/2025/07/02/strategic-pain-point-why-russia.html

Wereldprimeur: geluidscherm gemaakt van oude windturbinebladen langs A58 | Transport Online
https://www.transport-online.nl/92966/wereldprimeur-geluidscherm-gemaakt-van-oude-windturbinebladen-langs-a58/

AVM kündigt Outdoor-Repeater und drei neue Wi-Fi-7-Fritzboxen an
Die Fritzboxen 7630 und 7632 sind für DSL-Anschlüsse gedacht, die 4630 verzichtet auf ein Modem. Der Fritz-Repeater 1610 Outdoor ist robust.

This https://arxiv.org/abs/2412.16761 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Non-asymptotic Error Analysis of Subspace Identification for Deterministic Systems
The subspace identification method (SIM) has been extensively employed in the identification of discrete-time multiple-input multiple-output (MIMO) linear time-invariant (LTI) systems. This paper focuses on the analysis of perturbation errors for the system matrices in state-space models and the corresponding system poles, under two unified SIMs, based on a single finite-length input/output sample trajectory. Specifically, we derive non-asymptotic upper bounds on these errors, providing a unifi…

This https://arxiv.org/abs/2502.20923 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_grqc_…

Spinning boson stars in nonlinear sigma models and Universal Relations
Boson stars are hypothetical compact objects derived from solutions of a self-gravitating complex scalar field. In this study, we extend the traditional models by generalizing the kinetic term of the scalar field to that of a nonlinear sigma model. Concretely, we obtain spinning boson star solutions for a family of models parametrized by the curvature of their two-dimensional target manifold, as well as for various self-interaction potentials. We derive the global properties and multipolar stru…

[2025-07-02 Wed (UTC), no new articles found for cs.OS Operating Systems]
toXiv_bot_toot

@… would love to see the finished product!

AVM sorgt für frischen Wind auf der Anga Com in Köln und präsentiert gleich mehrere Neuheiten. ✨
Zum Artikel: https://heise.de/-10422267?wt_mc=sm.red.ho.mastodon.mastodon.md_beitraege.md_beitraege&utm_source=mastod…

“This is another snake-oil salesman’s pitch to make him look good and reward the billionaires and millionaire executives and stakeholders for US Steel,”
said Doug May, who worked for 43 years as a steel worker at a mill in Granite City, Illinois, from the age of 19.
“He’s a proven flip-flopper.
Just look at his trade cases:
on again, off again.”
Trump ditched his opposition to the deal
– which Joe Biden blocked in January, citing national security concerns …

Die patatbalie waar de pers zich verzamelt ... Wat ik toch wel heel erg mis daar is een barkeeper die er achter staat om de verzamelde of wachtende pers vsn versnaperingen te voorzien.
t Zou toch een mooi filiaal vsn t Kamerrestaurant kunnen zijn. 😉
#politiek #patatbalie

Input-Power-to-State Stability of Time-Varying Systems
Hernan Haimovich, Shenyu Liu, Antonio Russo, Jose L. Mancilla-Aguilar
https://arxiv.org/abs/2505.24805

Input-Power-to-State Stability of Time-Varying Systems
When the state of a system may remain bounded even if both the input amplitude and energy are unbounded, then the state bounds given by the standard input-to-state stability (ISS) and integral-ISS (iISS) properties may provide no useful information. This paper considers an ISS-related concept suitable in such a case: input-power-to-state stability (IPSS). Necessary and sufficient conditions for IPSS are developed for time-varying systems under very mild assumptions on the dynamics. More precise…

This https://arxiv.org/abs/2501.08161 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_grqc_…

Cosmological model with Gong-Zong Parametrization in $f(R,L_m)$ gravity
We present the cosmic expansion scenarios in the $f(R, L_m)$ gravity studied by using the dark energy equation of state (EoS) parameters. We proceed with the specific form of $f(R, L_m)$ gravity termed as $f(R, L_m)=\frac{R}{2}+L_{m}^α$. We derive the expansion rate in terms of the red-shift for two different forms of EoS parameter. In first model, EoS parameter varies inversely with the redshift and in second model, it involves the exponential form with the redshift. By using the Bayesian met…

Robust Distribution Network Reconfiguration Using Mapping-based Column-and-Constraint Generation
Runjie Zhang, Kaiping Qu, Changhong Zhao, Wanjun Huang
https://arxiv.org/abs/2505.24677

Robust Distribution Network Reconfiguration Using Mapping-based Column-and-Constraint Generation
The integration of intermittent renewable energy sources into distribution networks introduces significant uncertainties and fluctuations, challenging their operational security, stability, and efficiency. This paper considers robust distribution network reconfiguration (RDNR) with renewable generator resizing, modeled as a two-stage robust optimization (RO) problem with decision-dependent uncertainty (DDU). Our model optimizes resizing decisions as the upper bounds of renewable generator outpu…

This https://arxiv.org/abs/2412.16712 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_grqc_…

Strong deflection of massive particles in spherically symmetric spacetimes
Near a gravitating compact object, massive particles traveling along timelike geodesics are gravitationally deflected similarly to light. In this paper, we study the deflection angles of these particles in the strong deflection limit. This analytical approximation applies when particles in unbound orbits approach the compact object very closely, circle around it at a radius close to that of the unstable circular orbit, and eventually escape. While previous studies have provided results for part…

The giant policy bill muscled through Congress by Republicans is poised to
remake American energy
by slashing tax breaks for wind and solar power and electric cars
while maintaining some federal support for sources like nuclear reactors and geothermal plants.
The legislation, which carries Trump’s domestic policy agenda, provides a boost to fossil fuels
and dismantles many of the biggest actions the federal government has ever taken to fight climate change,

How the G.O.P. Bill Will Reshape America’s Energy Landscape
Here’s a rundown on the winners and losers in the legislation muscled through Congress.

2D PZT MEMS Resonant Scanner Using a Three-Mask Process
Mehrdad Khodapanahandeh, Parviz Zolfaghari, Hakan Urey
https://arxiv.org/abs/2505.24566 https://

2D PZT MEMS Resonant Scanner Using a Three-Mask Process
This work presents the design, simulation, fabrication, and characterization of a novel architectural compact two-dimensional (2D) resonant MEMS scanning mirror actuated by thin-film lead zirconate titanate (PZT). The device employs an innovative mechanically coupled dual-axis architecture fabricated using a three-mask process on an SOI-PZT deposited wafer, significantly reducing system complexity while achieving high performance. The scanner integrates a 1 $\times$ 1.4 mm oval mirror within a …

This https://arxiv.org/abs/2412.06043 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_grqc_…

Probing Gravity -- Fundamental Aspects of Metric Theories and their Implications for Tests of General Relativity
Guided by the Einstein equivalence principle that identifies the phenomenon of gravitation as a manifestation of the dynamics of spacetime in contrast to a localizable force, we review and explore its consequences on formulating a theory of gravity. The resulting space of metric theories of gravity may address open conceptual and observational puzzles through a wealth of effects beyond general relativity, whose traces can be searched for within today's and tomorrow's gravitational testing groun…

Damping LFOs: Grid Following with Power Oscillation Damping vs. Grid Forming vs. PSS
Tamojit Chakraborty, Anamitra Pal, Sam Maleki
https://arxiv.org/abs/2505.24204

Damping LFOs: Grid Following with Power Oscillation Damping vs. Grid Forming vs. PSS
Low-frequency oscillations (LFOs) present a significant challenge to the stability and reliability of power systems, especially in grids with a high penetration of renewable energy sources. Traditional grid-following (GFL) inverters have proven less effective in damping such oscillations. This paper presents a GFL-power plant controller with an auxiliary power oscillation damping control for damping LFOs. This approach is compared with a traditional power system stabilizer (PSS) for a two-area …

This https://arxiv.org/abs/2409.02188 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_grqc_…

Stochastic dark matter: Covariant Brownian motion from Planckian discreteness
Quantum gravity has long remained elusive from an observational standpoint. Developing effective cosmological models motivated by the fundamental aspects of quantum gravity is crucial for bridging theory with observations. One key aspect is the granularity of spacetime, which suggests that free particles would deviate from classical geodesics by following a covariant Brownian motion. This notion is further supported by swerves models in causal set theory, a discrete approach to quantum gravity.…

Trump wins the appeals court lottery in D.C.
The panel hearing emergency appeals this month appears to be: Rao, Katsas, Walker.
All three are Trump appointees — in fact the only Trump appointees on the DC Circuit.
They are handling one of the key tariff appeals.
https://b…

A Causation-Based Framework for Pricing and Cost Allocation of Energy, Reserves, and Transmission in Modern Power Systems
Luiza Ribeiro, Alexandre Street, Jose Manuel Arroyo, Rodrigo Moreno
https://arxiv.org/abs/2505.24159

A Causation-Based Framework for Pricing and Cost Allocation of Energy, Reserves, and Transmission in Modern Power Systems
The increasing vulnerability of power systems has heightened the need for operating reserves to manage contingencies such as generator outages, line failures, and sudden load variations. Unlike energy costs, driven by consumer demand, operating reserve costs arise from addressing the most critical credible contingencies - prompting the question: how should these costs be allocated through efficient pricing mechanisms? As an alternative to previously reported schemes, this paper presents a new c…

This https://arxiv.org/abs/2310.03697 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_grqc_…

Onset of dark energy from cosmological scalarization and gravitational wave speed
This study investigates the emergence of dark energy during the matter-dominated era through spontaneous cosmological scalarization in the scalar-Ricci-Gauss-Bonnet model.Our model aligns with the conjecture that the speed of gravitational waves at low redshifts is nearly equal to the speed of light, implying that the Gauss-Bonnet invariant does not directly contribute to late-time acceleration and suggesting that scalarization begins in the radiation-dominated era. The Gauss-Bonnet coupl…

Deception in Oligopoly Games via Adaptive Nash Seeking Systems
Michael Tang, Miroslav Krstic, Jorge Poveda
https://arxiv.org/abs/2505.24112 https://…

Deception in Oligopoly Games via Adaptive Nash Seeking Systems
In the theory of multi-agent systems, deception refers to the strategic manipulation of information to influence the behavior of other agents, ultimately altering the long-term dynamics of the entire system. Recently, this concept has been examined in the context of model-free Nash equilibrium seeking (NES) algorithms for noncooperative games. Specifically, it was demonstrated that players can exploit knowledge of other players' exploration signals to drive the system toward a ``deceptive" Nash…

Controller Design for Bilinear Neural Feedback Loops
Dhruv Shah, Jorge Cort\'es
https://arxiv.org/abs/2505.24106 https://arxiv.or…

Controller Design for Bilinear Neural Feedback Loops
This paper considers a class of bilinear systems with a neural network in the loop. These arise naturally when employing machine learning techniques to approximate general, non-affine in the input, control systems. We propose a controller design framework that combines linear fractional representations and tools from linear parameter varying control to guarantee local exponential stability of a desired equilibrium. The controller is obtained from the solution of linear matrix inequalities, whic…

A Conceptual Introduction to Hetero-functional Graph Theory for Systems-of-Systems
Amro M. Farid, Amirreza Hosseini, John C. Little
https://arxiv.org/abs/2505.24046

A Conceptual Introduction to Hetero-functional Graph Theory for Systems-of-Systems
A defining feature of twenty first century engineering challenges is their inherent complexity, demanding the convergence of knowledge across diverse disciplines. Establishing consistent methodological foundations for engineering systems remains a challenge -- one that both systems engineering and network science have sought to address. Model-based systems engineering (MBSE) has recently emerged as a practical, interdisciplinary approach for developing complex systems from concept through imple…

A Hetero-functional Graph Theory Perspective of Engineering Management of Mega-Projects
Amirreza Hosseini, Amro M. Farid
https://arxiv.org/abs/2505.24045 h…

A Hetero-functional Graph Theory Perspective of Engineering Management of Mega-Projects
Megaprojects are large-scale, complex, and one-off engineering endeavors that require significant investments from a public or private sector. Such projects generally cost more than a billion dollars, take many years to develop and construct, involve stakeholders both in the public and private sectors, and impact millions of people. Most of the extant megaproject research is concerned with understanding why the engineering management of megaprojects fails so frequently and which dimensions make…

Nonlinear Oscillatory Response of Automated Vehicle Car-following: Theoretical Analysis with Traffic State and Control Input Limits
Sixu Li, Yang Zhou
https://arxiv.org/abs/2505.24029

Nonlinear Oscillatory Response of Automated Vehicle Car-following: Theoretical Analysis with Traffic State and Control Input Limits
This paper presents a framework grounded in the theory of describing function (DF) and incremental-input DF to theoretically analyze the nonlinear oscillatory response of automated vehicles (AVs) car-following (CF) amidst traffic oscillations, considering the limits of traffic state and control input. While prevailing approaches largely ignore these limits (i.e., saturation of acceleration/deceleration and speed) and focus on linear string stability analysis, this framework establishes a basis …

Exploiting Euclidean Distance Field Properties for Fast and Safe 3D planning with a modified Lazy Theta*
Jose A. Cobano, L. Merino, F. Caballero
https://arxiv.org/abs/2505.24024

Exploiting Euclidean Distance Field Properties for Fast and Safe 3D planning with a modified Lazy Theta*
Graph search planners have been widely used for 3D path planning in the literature, and Euclidean Distance Fields (EDFs) are increasingly being used as a representation of the environment. However, to the best of our knowledge, the integration of EDFs into heuristic planning has been carried out in a loosely coupled fashion, dismissing EDF properties that can be used to accelerate/improve the planning process and enhance the safety margins of the resultant trajectories. This paper presents a fa…

[2025-06-02 Mon (UTC), 11 new articles found for eess.SY Systems and Control]
#toXiv_bot_toot

Hybrid SIS Dynamics for Demand Modeling of Frequently Updated Products
Ian Walter, Jitesh H. Panchal, Philip E. Par\'e
https://arxiv.org/abs/2506.01866

Hybrid SIS Dynamics for Demand Modeling of Frequently Updated Products
We propose a hybrid spreading process model to capture the dynamics of demand for software-based products. We introduce discontinuous jumps in the state to model sudden surges in demand that can be seen immediately after a product update is released. After each update, the modeled demand evolves according to a continuous-time susceptible-infected-susceptible (SIS) epidemic model. We identify the necessary and sufficient conditions for estimating the hybrid model's parameters for an arbitrary fi…

Data-assimilated model-informed reinforcement learning
Defne E. Ozan, Andrea N\'ovoa, Georgios Rigas, Luca Magri
https://arxiv.org/abs/2506.01755 https…

Data-assimilated model-informed reinforcement learning
The control of spatio-temporally chaos is challenging because of high dimensionality and unpredictability. Model-free reinforcement learning (RL) discovers optimal control policies by interacting with the system, typically requiring observations of the full physical state.In practice, sensors often provide only partial and noisy measurements (observations) of the system. The objective of this paper is to develop a framework that enables the control of chaotic systems with partial and noisy obse…

Generalized Super-Twisting Observer for a class of interconnected nonlinear systems with uncertainties
Rania Tafat, Jaime A. Moreno, Stefan Streif
https://arxiv.org/abs/2506.01754

Generalized Super-Twisting Observer for a class of interconnected nonlinear systems with uncertainties
The Generalized Super-Twisting Observer (GSTO) is extended for a strongly observable class of nonlinearly interconnected systems with bounded uncertainties/perturbations. A nonsmooth strong Lyapunov function is used to prove the finite-time convergence of the proposed observer to the true system's trajectories, in the presence of the uncertainties. A case study on the interaction between two food production systems is presented, comparing the proposed observer with the High Gain observer. The r…

Smooth Logic Constraints in Nonlinear Optimization and Optimal Control Problems
J. Wehbeh, E. C. Kerrigan
https://arxiv.org/abs/2506.01742 https://

Smooth Logic Constraints in Nonlinear Optimization and Optimal Control Problems
In some optimal control problems, complex relationships between states and inputs cannot be easily represented using continuous constraints, necessitating the use of discrete logic instead. This paper presents a method for incorporating such logic constraints directly within continuous optimization frameworks, eliminating the need for binary variables or specialized solvers. Our approach reformulates arbitrary logic constraints under minimal assumptions as max-min constraints, which are then sm…

Update-Aware Robust Optimal Model Predictive Control for Nonlinear Systems
J. Wehbeh, E. C. Kerrigan
https://arxiv.org/abs/2506.01729 https://

Update-Aware Robust Optimal Model Predictive Control for Nonlinear Systems
Robust optimal or min-max model predictive control (MPC) approaches aim to guarantee constraint satisfaction over a known, bounded uncertainty set while minimizing a worst-case performance bound. Traditionally, these methods compute a trajectory that meets the desired properties over a fixed prediction horizon, apply a portion of the resulting input, and then re-solve the MPC problem using newly obtained measurements at the next time step. However, this approach fails to account for the fact th…

A Vertical Approach to Designing and Managing Sustainable Heterogeneous Edge Data Centers
Aikaterini Maria Panteleaki, Varatheepan Paramanayakam, Vasileios Pentsos, Andreas Karatzas, Spyros Tragoudas, Iraklis Anagnostopoulos
https://arxiv.org/abs/2506.01712

A Vertical Approach to Designing and Managing Sustainable Heterogeneous Edge Data Centers
The increasing demand for Artificial Intelligence (AI) computing poses significant environmental challenges, with both operational and embodied carbon emissions becoming major contributors. This paper presents a carbon-aware holistic methodology for designing and managing sustainable Edge Data Centers (EDCs), based on three design principles that challenge the state-of-the-art optimization paradigms. Our approach employs vertical integration across the architecture, system, and runtime layers, …

Interpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees
Toon Van Puyvelde, Mehran Zareh, Chris Develder
https://arxiv.org/abs/2506.01641

Interpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees
In recent years, deep reinforcement learning (DRL) algorithms have gained traction in home energy management systems. However, their adoption by energy management companies remains limited due to the black-box nature of DRL, which fails to provide transparent decision-making feedback. To address this, explainable reinforcement learning (XRL) techniques have emerged, aiming to make DRL decisions more transparent. Among these, soft differential decision tree (DDT) distillation provides a promisin…

Equivalence of Left- and Right-Invariant Extended Kalman Filters on Matrix Lie Groups
Finn G. Maurer, Erlend A. Basso, Henrik M. Schmidt-Didlaukies, Torleiv H. Bryne
https://arxiv.org/abs/2506.01514

Equivalence of Left- and Right-Invariant Extended Kalman Filters on Matrix Lie Groups
This paper derives the extended Kalman filter (EKF) for continuous-time systems on matrix Lie groups observed through discrete-time measurements. By modeling the system noise on the Lie algebra and adopting a Stratonovich interpretation for the stochastic differential equation (SDE), we ensure that solutions remain on the manifold. The derivation of the filter follows classical EKF principles, naturally integrating a necessary full-order covariance reset post-measurement update. A key contribut…

Optimal Co-Design of a Hybrid Energy Storage System for Truck Charging
Juan Pablo Bertucci, Sudarshan Raghuraman, Mauro Salazar, Theo Hofman
https://arxiv.org/abs/2506.01426

Optimal Co-Design of a Hybrid Energy Storage System for Truck Charging
The major challenges to battery electric truck adoption are their high cost and grid congestion.In this context, stationary energy storage systems can help mitigate both issues. Since their design and operation are strongly coupled, to make the best out of them, they should be jointly optimized. This paper presents a co-design framework for hybrid energy storage systems where their technology and sizing are optimized jointly with their operational strategies. Specifically, we consider a microgr…

Captivity-Escape Games as a Means for Safety in Online Motion Generation
Christopher Bohn, Manuel Hess, S\"oren Hohmann
https://arxiv.org/abs/2506.01399

Captivity-Escape Games as a Means for Safety in Online Motion Generation
This paper presents a method that addresses the conservatism, computational effort, and limited numerical accuracy of existing frameworks and methods that ensure safety in online model-based motion generation, commonly referred to as fast and safe tracking. Computational limitations restrict online motion planning to low-fidelity models. However, planning with low-fidelity models compromises safety, as the dynamic feasibility of resulting reference trajectories is not ensured. This potentially …

Prediction of the Conditional Probability Densities of Time Interval Extrema for Risk-Sensitive Scheduling
Buyi Yu, Wenyuan Tang
https://arxiv.org/abs/2506.01358

Prediction of the Conditional Probability Densities of Time Interval Extrema for Risk-Sensitive Scheduling
Planning and scheduling activities in the electrical power system, such as the commitment of reserve generation, often involve statistical characterization of peak demand. Extreme Value Analysis (EVA)-based probabilistic assessments of annual peaks are widely adopted by energy regulatory and oversight agencies to determine the likelihood and severity of potential energy shortfalls. Due to the inability of classical EVA to account for peak distributions that change with annual extreme temperatur…

React to Surprises: Stable-by-Design Neural Feedback Control and the Youla-REN
Nicholas H. Barbara, Ruigang Wang, Alexandre Megretski, Ian R. Manchester
https://arxiv.org/abs/2506.01226

React to Surprises: Stable-by-Design Neural Feedback Control and the Youla-REN
We study parameterizations of stabilizing nonlinear policies for learning-based control. We propose a structure based on a nonlinear version of the Youla-Kučera parameterization combined with robust neural networks such as the recurrent equilibrium network (REN). The resulting parameterizations are unconstrained, and hence can be searched over with first-order optimization methods, while always ensuring closed-loop stability by construction. We study the combination of (a) nonlinear dynamics, …

Distributed perception of social power in influence networks with stubborn individuals
Ye Tian, Yu Kawano, Wei Zhang, Kenji Kashima
https://arxiv.org/abs/2506.01169

Distributed perception of social power in influence networks with stubborn individuals
Social power quantifies the ability of individuals to influence others and plays a central role in social influence networks. Yet computing social power typically requires global knowledge and significant computational or storage capability, especially in large-scale networks with stubborn individuals. This paper develops distributed algorithms for social power perception in groups with stubborn individuals. We propose two dynamical models for distributed perception of social power based on the…

Chaotic Noncoherent SWIPT in Multi-Functional RIS-Aided Systems
Priyadarshi Mukherjee, Constantinos Psomas, Himal A. Suraweera, Ioannis Krikidis
https://arxiv.org/abs/2506.01051

Chaotic Noncoherent SWIPT in Multi-Functional RIS-Aided Systems
In this letter, we investigate the design of chaotic signal-based transmit waveforms in a multi-functional reconfigurable intelligent surface (MF-RIS)-aided set-up for simultaneous wireless information and power transfer. We propose a differential chaos shift keying-based MF-RIS-aided set-up, where the MF-RIS is partitioned into three non-overlapping surfaces. The elements of the first sub-surface perform energy harvesting (EH), which in turn, provide the required power to the other two sub-sur…

IAE Optimized PID Tuning with Phase Margin and Crossover Frequency Constraints
Senol Gulgonul
https://arxiv.org/abs/2506.00923 https://

IAE Optimized PID Tuning with Phase Margin and Crossover Frequency Constraints
This paper presents PMwc-Tune, a novel PID tuning method that uniquely combines frequency-domain robustness constraints with time-domain performance optimization through constrained nonlinear programming. The key contribution is a unified formulation that simultaneously enforces phase margin and crossover frequency requirements (via nonlinear equality constraints) while minimizing the Integral Absolute Error (IAE) of the closed-loop response. The algorithm employs Sequential Quadratic Programmi…

HMPC-assisted Adversarial Inverse Reinforcement Learning for Smart Home Energy Management
Jiadong He, Liang Yu, Zhiqiang Chen, Dawei Qiu, Dong Yue, Goran Strbac, Meng Zhang, Yujian Ye, Yi Wang
https://arxiv.org/abs/2506.00898

HMPC-assisted Adversarial Inverse Reinforcement Learning for Smart Home Energy Management
This letter proposes an Adversarial Inverse Reinforcement Learning (AIRL)-based energy management method for a smart home, which incorporates an implicit thermal dynamics model. In the proposed method, historical optimal decisions are first generated using a neural network-assisted Hierarchical Model Predictive Control (HMPC) framework. These decisions are then used as expert demonstrations in the AIRL module, which aims to train a discriminator to distinguish expert demonstrations from transit…

Interpretable Spatio-Temporal Features Extraction based Industrial Process Modeling and Monitoring by Soft Sensor
Qianchao Wang, Peng Sha, Leena Heistrene, Yuxuan Ding, Yaping Du
https://arxiv.org/abs/2506.00858

Interpretable Spatio-Temporal Features Extraction based Industrial Process Modeling and Monitoring by Soft Sensor
Data-driven soft sensors have been widely applied in complex industrial processes. However, the interpretable spatio-temporal features extraction by soft sensors remains a challenge. In this light, this work introduces a novel method termed spatio-temporal consistent and interpretable model (STCIM). First, temporal and spatial features are captured and aligned by a far topological spatio-temporal consistency extraction block. Then, the features are mapped into an interpretable latent space for …

Conceal Truth while Show Fake: T/F Frequency Multiplexing based Anti-Intercepting Transmission
Zhisheng Yin, Nan Cheng, Tom H. Luan, Mingjie Wang, Dongbo Li, Yiliang Liu, Changle Li
https://arxiv.org/abs/2506.00811

Conceal Truth while Show Fake: T/F Frequency Multiplexing based Anti-Intercepting Transmission
In wireless communication adversarial scenarios, signals are easily intercepted by non-cooperative parties, exposing the transmission of confidential information. This paper proposes a true-and-false (T/F) frequency multiplexing based anti-intercepting transmission scheme capable of concealing truth while showing fake (CTSF), integrating both offensive and defensive strategies. Specifically, through multi-source cooperation, true and false signals are transmitted over multiple frequency bands u…

Bi-Level optimization for parameter estimation of differential equations using interpolation
Siddharth Prabhu, Srinivas Rangarajan, Mayuresh Kothare
https://arxiv.org/abs/2506.00720

Bi-Level optimization for parameter estimation of differential equations using interpolation
Inverse problem or parameter estimation of ordinary differential equations is a process of obtaining the best parameters using experimental measurements of the states. Single (Multiple)-shooting is a type of sequential optimization method that minimizes the error in the measured and numerically integrated states. However, this requires computing sensitivities i.e. the derivatives of states with respect to the parameters over the numerical integrator, which can get computationally expensive. To …

Integrative, Scalable Modeling of Hydrological Systems with MBSE and HFGT
Megan Harris, Ehsanoddin Ghorbanichemazkati, Mohammad Mahdi Naderi, John C. Little, Amro M. Farid
https://arxiv.org/abs/2506.00696

Integrative, Scalable Modeling of Hydrological Systems with MBSE and HFGT
Worsening global challenges in the Anthropocene demand complex, adaptive solutions grounded in a systems-level understanding of coupled social and environmental dynamics. However, existing modeling approaches often fall short due to disciplinary silos, limited scalability, and the absence of shared ontological frameworks. Model-Based Systems Engineering (MBSE), when integrated with Hetero-functional Graph Theory (HFGT), offers a powerful methodology for modeling systems of systems while preserv…

Sensor Fusion Methods for Gaussian Mixture Models
Ishan Paranjape, Islam Hussein, Jeremy Murray-Krezan, Sean Phillips, Suman Chakravorty
https://arxiv.org/abs/2506.00383

Sensor Fusion Methods for Gaussian Mixture Models
Consensus is a popular technique for distributed state estimation. This formulation allows networks of connected agents or sensors to exchange information about the distribution of a set of targets with their immediate neighbors without the need of a centralized node or layer. We present decentralized consensus-based fusion techniques for a system whose target prior estimates are a weighted mixture of Gaussian probability density functions (PDFs) for the following cases: 1) in which all agents …

Enhancing Spatio-Temporal Resolution of Process-Based Life Cycle Analysis with Model-Based Systems Engineering \& Hetero-functional Graph Theory
Niraj Gohil, Nawshad Haque, Amgad Elgowainy, Amro M. Farid
https://arxiv.org/abs/2506.00230

Enhancing Spatio-Temporal Resolution of Process-Based Life Cycle Analysis with Model-Based Systems Engineering \& Hetero-functional Graph Theory
Life cycle analysis (LCA) has emerged as a vital tool for assessing the environmental impacts of products, processes, and systems throughout their entire lifecycle. It provides a systematic approach to quantifying resource consumption, emissions, and waste, enabling industries, researchers, and policymakers to identify hotspots for sustainability improvements. By providing a comprehensive assessment of systems, from raw material extraction to end-of-life disposal, LCA facilitates the developmen…

MRDust: Wireless Implant Data Uplink & Localization via Magnetic Resonance Image Modulation
Biqi Rebekah Zhao, Alexander Chou, Robert Peltekov, Elad Alon, Chunlei Liu, Rikky Muller, Michael Lustig
https://arxiv.org/abs/2506.00143

MRDust: Wireless Implant Data Uplink & Localization via Magnetic Resonance Image Modulation
Magnetic resonance imaging (MRI) exhibits rich and clinically useful endogenous contrast mechanisms, which can differentiate soft tissues and are sensitive to flow, diffusion, magnetic susceptibility, blood oxygenation level, and more. However, MRI sensitivity is ultimately constrained by Nuclear Magnetic Resonance (NMR) physics, and its spatiotemporal resolution is limited by SNR and spatial encoding. On the other hand, miniaturized implantable sensors offer highly localized physiological info…

[2025-06-03 Tue (UTC), 23 new articles found for eess.SY Systems and Control]
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