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pro vyhledávání: '"Bouvier, Jean"'
In this paper, we develop a method for learning a control policy guaranteed to satisfy an affine state constraint of high relative degree in closed loop with a black-box system. Previous reinforcement learning (RL) approaches to satisfy safety constr
Externí odkaz:
http://arxiv.org/abs/2407.20456
In this paper, we seek to learn a robot policy guaranteed to satisfy state constraints. To encourage constraint satisfaction, existing RL algorithms typically rely on Constrained Markov Decision Processes and discourage constraint violations through
Externí odkaz:
http://arxiv.org/abs/2403.13297
Resilience of cyber-physical networks to unexpected failures is a critical need widely recognized across domains. For instance, power grids, telecommunication networks, transportation infrastructures and water treatment systems have all been subject
Externí odkaz:
http://arxiv.org/abs/2306.16588
After the loss of control authority over thrusters of the Nauka module, the International Space Station lost attitude control for 45 minutes with potentially disastrous consequences. Motivated by a scenario of orbital inspection, we consider a simila
Externí odkaz:
http://arxiv.org/abs/2303.12877
Autor:
Bouvier, Jean-Baptiste, Ornik, Melkior
After a loss of control authority over thrusters of the Nauka module, the International Space Station lost attitude control for 45 minutes with potentially disastrous consequences. Motivated by this scenario, we investigate the continued capability o
Externí odkaz:
http://arxiv.org/abs/2209.08034
Distributed Transient Safety Verification via Robust Control Invariant Sets: A Microgrid Application
Modern safety-critical energy infrastructures are increasingly operated in a hierarchical and modular control framework which allows for limited data exchange between the modules. In this context, it is important for each module to synthesize and com
Externí odkaz:
http://arxiv.org/abs/2202.09320
Autor:
Bouvier, Jean-Baptiste, Ornik, Melkior
Actuator malfunctions may have disastrous consequences for systems not designed to mitigate them. We focus on the loss of control authority over actuators, where some actuators are uncontrolled but remain fully capable. To counteract the undesirable
Externí odkaz:
http://arxiv.org/abs/2201.12278
To design critical systems engineers must be able to prove that their system can continue with its mission even after losing control authority over some of its actuators. Such a malfunction results in actuators producing possibly undesirable inputs o
Externí odkaz:
http://arxiv.org/abs/2111.04163
Autor:
Bouvier, Jean-Baptiste, Ornik, Melkior
We present an optimization problem emerging from optimal control theory and situated at the intersection of fractional programming and linear max-min programming on polytopes. A na\"ive solution would require solving four nested, possibly nonlinear,
Externí odkaz:
http://arxiv.org/abs/2104.15025