Multiple models adaptive control based on time series for a class of nonlinear systems

被引：5
作者：
Huang, Miao [1 ]
Wang, Xin [2 ]
Wang, Zhen-Lei [1 ]
机构：
[1] Key Laboratory of Advanced Control and Optimization for Chemical Processes (Ministry of Education), East China University of Science and Technology
[2] Center of Electrical and Electronic Technology, Shanghai Jiao Tong University
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2013年 / 39卷 / 05期
关键词：
Clustering; Directional derivative; Multiple models; Nonlinear; Time series;
D O I：
10.3724/SP.J.1004.2013.00581
中图分类号：
学科分类号：
摘要：
For a class of nonlinear discrete time systems, a multiple models adaptive controller (MMAC) based on time series is proposed. It uses clustering method to establish some linear local models, utilizes time series and directional derivative to establish a weighted model to approximate the real system when its working point jumps abruptly, and adds one global adaptive model with a re-initialized adaptive model to get the multiple models. Then a switching mechanism is designed to select the optimal controller to realize the control. Finally, in the simulation result, it can be seen that the proposed controller not only improves the transient response and speed up the control effect, but also reduces the number of the multiple model sets greatly, especially for a similar control response. Copyright © 2013 Acta Automatica Sinica. All rights reserved.
引用
收藏
页码：581 / 586
页数：5
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