***Abstract:*** Model Predictive Control (MPC) computes control actions by solving an optimization problem online, which lets it handle constraints on states and inputs explicitly. Its guarantees, however, rely on an exact model. Tube MPC restores robustness for uncertain linear systems by …
READ MORE*Abstract:* Brain–machine interfaces (BMIs) have recently emerged as promising rehabilitation tools for promoting recovery of lost motor function. By enabling direct communication between the brain and an external device such as a robotic exoskeleton, BMIs offer a novel approach to rehabilitation. …
READ MOREValse team has several visitors that will make seminars next Tuesday, 20/10/2026, 14:00–15:00, at the room A00 of Inria: **Manas Kumar Bera, National Institute of Technology Rourkela, India**\ *Title:* Deep Neuro-Adaptive Sliding Mode Controller for Higher-Order Heterogeneous Nonlinear Multi-Agent …
READ MOREThe SMAC team are hosting SCOOL ***Abstract:*** Reinforcement learning is an exciting field of research, at the crossing of Statistics, Optimization, Control and Representation theory, and is often considered the Brain of an AI, where decisions are computed and optimized. Despite this appeal, …
READ MORE***Abstract:*** This work presents a relay tracking control design for a class of Linear Parameter-Varying (LPV) systems, that guarantees the local practical stability of the tracking error. The relay feedback synthesis method is based on the existence of a linear parameter-dependent control law …
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