Modeling and Control of Nonlinear Discrete-time Systems Based on Compound Neural Networks  

基于复合神经网络的离散非线性系统建模与控制(英文)

作　　者：张燕 梁秀霞 杨鹏 陈增强 袁著祉 

机构地区：[1]Department of Automation,Hebei University of Technology [2]Department of Automation,Nankai University

出　　处：《Chinese Journal of Chemical Engineering》2009年第3期454-459,共6页中国化学工程学报（英文版）

基　　金：Supported by the National Natural Science Foundation of China (60575009, 60574036)

摘　　要：An adaptive inverse controller for nonliear discrete-time system is proposed in this paper. A compound neural network is constructed to identify the nonlinear system, which includes a linear part to approximate the nonlinear system and a recurrent neural network to minimize the difference between the linear model and the real nonlinear system. Because the current control input is not included in the input vector of recurrent neural network (RNN), the inverse control law can be calculated directly. This scheme can be used in real-time nonlinear single-input single-output (SISO) and multi-input multi-output (MIMO) system control with less computation work. Simulation studies have shown that this scheme is simple and affects good control accuracy and robustness.An adaptive inverse controller for nonliear discrete-time system is proposed in this paper. A compound neural network is constructed to identify the nonlinear system, which includes a linear part to approximate the nonlinear system and a recurrent neural network to minimize the difference between the linear model and the real nonlinear system. Because the current control input is not included in the input vector of recurrent neural network （RNN）, the inverse control law can be calculated directly. This scheme can be used in real-time nonlinear single-input single-output （SISO） and multi-input multi-output （MIMO） system control with less computation work. Simulation studies have shown that this scheme is simple and affects good control accuracy and robustness.

关 键 词：adaptive inverse control compound neural network process control reaction engineering multi-input multi-output nonlinear system 

分 类 号：TP11[自动化与计算机技术—控制理论与控制工程]