Abstract: With the development of cyber-physical systems, system security faces more risks from cyber-attacks. In this work, we study the problem that an external attacker implements covert sensor and ...
Optimal Control for Constrained Discrete-Time Nonlinear Systems Based on Safe Reinforcement Learning
The state and input constraints of nonlinear systems could greatly impede the realization of their optimal control when using reinforcement learning (RL)-based approaches since the commonly used ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback