A Nonlinear Neural-Net based PID Controller using Local Linear Models

Y. Ohnishi and M. Hirata (Japan)


PID control, Nonlinear systems, Neural networks


PID control schemes based on the classical control theory, have been widely used for various process control systems for a long time. However, it is difficult to find a set of suit able PID parameters for nonlinear systems. In this paper, a compensation method of PID parameters for the nonlinear systems is proposed by using a neural network.

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