ADAPTIVE PID CONTROL BASED ON RECURRENT NEURAL NETWORKS AND AUXILIARY REGULATION ALGORITHM
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Graphical Abstract
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Abstract
The insufficiency of RNN algorithm has been pointed out and corrected in this paper. Aiming at the shortages of the inverted dynamic model, an adaptive PID control system has been proposed, and the auxiliary regulating algorithm has been provided. Simulation results show that this system can achieve good control accuracy and has good robustness.
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