Tootfinder

Equivariant Filter for Relative Attitude and Target Angular Velocity Estimation
Gil Serrano, Bruno J. Guerreiro, Pedro Louren\c{c}o, Rita Cunha
https://arxiv.org/abs/2506.06016

Equivariant Filter for Relative Attitude and Target Angular Velocity Estimation
Accurate estimation of the relative attitude and angular velocity between two rigid bodies is fundamental in aerospace applications such as spacecraft rendezvous and docking. In these scenarios, a chaser vehicle must determine the orientation and angular velocity of a target object using onboard sensors. This work addresses the challenge of designing an Equivariant Filter (EqF) that can reliably estimate both the relative attitude and the target angular velocity using noisy observations of two …

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control
Ayoub Farkane, Mohamed Boutayeb, Mustapha Oudani, Mounir Ghogho
https://arxiv.org/abs/2507.06817

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control
Accurate knowledge of the state variables in a dynamical system is critical for effective control, diagnosis, and supervision, especially when direct measurements of all states are infeasible. This paper presents a novel approach to designing software sensors for nonlinear dynamical systems expressed in their most general form. Unlike traditional model-based observers that rely on explicit transformations or linearization, the proposed framework integrates neural networks with adaptive Sliding …