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 ...
Consistently ranked among the top by U.S. News & World Report, the online Master of Science in Electrical & Computer Engineering offers engineering professionals flexibility without sacrificing ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results