Performance Optimization and Improvement of PLC Control System Based on Big Data Analysis
In order to optimize the performance of PLC control systems,this paper proposes an improved Q-Learning reinforcement learning algorithm.This algorithm utilizes the model to predict the future state set during each iterative optimization process,and selects the decision that maximizes the expected return among these states.Through simulation experiments,it can be seen that this algorithm has significant advantages in controlling related performance indicators.
NETL
NSTL
万方数据
维普
