A novel data based control method based upon neural network and simultaneous perturbation stochastic approximation

被引：11

作者：

Dong, Na ^{[1
]}

Chen, Zengqiang ^{[1
]}

机构：

[1] Nankai Univ, Dept Automat, Tianjin 300071, Peoples R China

来源：

NONLINEAR DYNAMICS | 2012年 / 67卷 / 02期

基金：

高等学校博士学科点专项科研基金;

关键词：

Data based control; Model-free control; SPSA; Neural network; Non-linear tracking problem; ADAPTIVE-CONTROL; SYSTEMS;

D O I：

10.1007/s11071-011-0039-x

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

A novel data based control method is proposed by modifying the cost function of a model-free control method based on Simultaneous Perturbation Stochastic Approximation (SPSA). The controller is constructed through use of a Function Approximator (FA), which is fixed as a neural network here. In the novel approach, the ability of the controller has been greatly improved. At last, the proposed modified control method is applied to solve non-linear tracking problems. Simulation comparison tests were done on typical non-linear plants, through which, the effectiveness of the novel data based control method is fully illustrated.

引用

页码：957 / 963

页数：7

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