Optimal Control for Constrained Discrete-Time Nonlinear Systems Based on Safe Reinforcement Learning
Abstract: 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 ...
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Abstract: In a practical alternating current (ac) machine drive system, a zero-order hold equivalent discrete-time machine model motivates the development of a direct discrete-time current regulator ...
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