PRIEUR , Christophe

In this paper, we consider the problems of stability analysis and control synthesis for first-order hyperbolic linear Partial Differential Equations (PDEs) over a bounded interval with spatially varying coefficients. We propose Linear Matrix Inequalities (LMI) conditions for the stability and for the design of boundary and distributed control...

This paper presents a learning-based controlstrategy for non-linear throttle valves with an asymmetrichysteresis leading to a near-optimal controller. We start witha carefully tuned Proportional Integrator (PI) controller andexploit the recent advances in Reinforcement Learning (RL)with Guides to improve the closed-loop behavior by learningfrom...

Recent advances in the use of Artificial Intelligence to control complex systems make it suitable for profile plasma control. In this work, we propose an algorithm based on Deep Reinforcement Learning to control the safety factor profile with a feedback design. For this purpose, we first derive a device-specific control-oriented model with fast...