| Multiple-model-and-neural-network-based nonlinear multivariable adaptive control |
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| 作者姓名： | Yue FU Tianyou CHAI |
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| 作者单位： | Key Laboratory of Integrated Automation of Process Industry，Ministry of Education，Northeastern University，Shenyang Liaoning 110004，China; Research Center of Automation，Northeastern University，Shenyang Liaoning 110004，China |
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| 基金项目： | This work is supported by 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）, and the Program for Changjiang Scholars and Innovative Research Team in University （No. IRT0421）. The authors wish to thank Prof. Cishen Zhang from Nanyang Technological University for his many constructive and helpful suggestions in improving this paper. |
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| 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.
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| 关 键 词： | 非线性 多变量 自适应控制 多模型 神经网络 |
| 收稿时间： | 2006-02-24 |
| 修稿时间： | 2006-11-29 |
Multiple-model-and-neural-network-based nonlinear multivariable adaptive control |
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| Yue FU,Tianyou CHAI.Multiple-model-and-neural-network-based nonlinear multivariable adaptive control[J].Journal of Control Theory and Applications,2007,5(2):121-126. |
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| Authors: | Yue FU;Tianyou CHAI |
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| Affiliation: | 1. Key Laboratory of Integrated Automation of Process Industry, Ministry of Education, Northeastern University, Shenyang Liaoning 110004, China
2. Key Laboratory of Integrated Automation of Process Industry, Ministry of Education, Northeastern University, Shenyang Liaoning 110004, China;Research Center of Automation, Northeastern University, Shenyang Liaoning 110004, China |
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| Abstract: | 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. |
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| Keywords: | Adaptive control Neural network Multiple models Switching Stability |
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