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 ...
Abstract: This paper proposes a monitoring and control system for the greenhouses’ environment using sensors, actuators, and the internet of things (IoT). The system will keep track of the temperature ...
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