CMAC Neural Network for Analyzing and Designing Nonlinear Process Control Systems——Part Ⅱ:Control Strategy

Pei Yong DUAN;Tong Kui TANG;Hui He SHAO

Systems Engineering - Theory & Practice ›› 2000, Vol. 20 ›› Issue (3) : 24-27.

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PDF(180 KB)
Systems Engineering - Theory & Practice ›› 2000, Vol. 20 ›› Issue (3) : 24-27. DOI: 10.12011/1000-6788(2000)3-24
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CMAC Neural Network for Analyzing and Designing Nonlinear Process Control Systems——Part Ⅱ:Control Strategy

  • Pei Yong DUAN(1),Tong Kui TANG(2),Hui He SHAO(2)
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Abstract

In this second paper on the analysis and design of nonlinear process control systems, we present a controller design method using cost function and CMAC model, and obtain the parameter selecting method of the controller by analyzing the convergence of control algorithms and the stability of the control system. The strategy is applicable to the situations where the inputs and outputs can be measured and the CMAC model can be obtained. A simulation example are given to demonstrate the correctness and practica...

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CMAC model / stability / learning control / neural networks

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Pei Yong DUAN , Tong Kui TANG , Hui He SHAO. CMAC Neural Network for Analyzing and Designing Nonlinear Process Control Systems——Part Ⅱ:Control Strategy. Systems Engineering - Theory & Practice, 2000, 20(3): 24-27 https://doi.org/10.12011/1000-6788(2000)3-24
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