[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.15207/JKCS.2014.5.4.163

Stable Tracking Control to a Non-linear Process Via Neural Network Model

Zhai, Yujia (Department of Electrical and Electronic Engineering Xi'an Jiaotong-Liverpool University)

Publication Information

Journal of the Korea Convergence Society / v.5, no.4, 2014 , pp. 163-169 More about this Journal

Abstract

A stable neural network control scheme for unknown non-linear systems is developed in this paper. While the control variable is optimised to minimize the performance index, convergence of the index is guaranteed asymptotically stable by a Lyapnov control law. The optimization is achieved using a gradient descent searching algorithm and is consequently slow. A fast convergence algorithm using an adaptive learning rate is employed to speed up the convergence. Application of the stable control to a single input single output (SISO) non-linear system is simulated. The satisfactory control performance is obtained.

Keywords

Stable; Control; No-linear; Neural Network;

Citations & Related Records

Reference

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