Multiple-model-and-neural-network-based nonlinear multivariable adaptive control  

作　　者：Yue FU Tianyou CHAI 

机构地区：[1]Key Laboratory of Integrated Automation of Process Industry, Ministry of Education, Northeastern University, Shenyang Liaoning 110004, China [2]Research Center of Automation, Northeastern University, Shenyang Liaoning 110004, China

出　　处：《控制理论与应用（英文版）》2007年第2期121-126,共6页

基　　金：the National Fundamental Research Program of China (No. 2002CB312201);the State Key Program of National Natural Science of China (No. 60534010);the Funds for Creative Research Groups of China (No. 60521003);the Program for Changjiang Scholars and Innovative Research Team in University (No. IRT0421)

摘　　要：A multivariable adaptive controller feasible for implementation on distributed computer systems （DCS） is presented for a class of uncertain nonlinear multivariable discrete time systems. The adaptive controller is composed of a linear adaptive controller, a neural network nonlinear adaptive controller and a switching mechanism. The linear controller can provide boundedness of the input and output signals, and the nonlinear controller can improve the performance of the system. The purpose of using the switching mechanism is to obtain the improved system performance and stability simultaneously. Theory analysis and simulation results are presented to show the effectiveness of the proposed method.A multivariable adaptive controller feasible for implementation on distributed computer systems （DCS） is presented for a class of uncertain nonlinear multivariable discrete time systems. The adaptive controller is composed of a linear adaptive controller, a neural network nonlinear adaptive controller and a switching mechanism. The linear controller can provide boundedness of the input and output signals, and the nonlinear controller can improve the performance of the system. The purpose of using the switching mechanism is to obtain the improved system performance and stability simultaneously. Theory analysis and simulation results are presented to show the effectiveness of the proposed method.

关 键 词：Adaptive control Neural network Multiple models SWITCHING Stability 

分 类 号：O231.2[理学—运筹学与控制论]