Abstract:This paper proposes a discrete-time extremum seeking algorithm based on annealing recurrent neural network (ESA-ARNN) for auto-tuning of PID controller parameters.Firstly, the process of tuning PID controller parameters is transformed into an extremum seeking problem by introducing a cost function, such as the integral squared error (ISE). Then, in order to solve this extremum seeking problem, a discrete-time ESA-ARNN is proposed, which can realize auto-tuning for PID controller parameters. Lastly, the novel a… Show more
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