A New Nonlinear Adaptive Switching Control Method Based on Data Driven

被引：0
|
作者：
Niu H. [1 ]
Tao J.-M. [1 ]
Zhang Y.-J. [2 ]
机构：
[1] College of Science, Liaoning Shihua University, Fushun
[2] State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2020年 / 46卷 / 11期
基金：
中国国家自然科学基金;
关键词：
Adaptive control; Data driven; Nonlinear systems; Switching system;
D O I：
10.16383/j.aas.c190674
中图分类号：
学科分类号：
摘要：
In this paper, a new nonlinear adaptive switching control method is proposed for a class of nonlinear discrete time dynamical systems. The proposed method firstly decomposes the nonlinear term into the form of the measurable part at the previous sampling instant plus its unknown increment part, and makes full use of the big data information and knowledge of the controlled plant, both the measurable part and the unknown increment of the nonlinear term are used in the controller design, the linear adaptive controller, nonlinear adaptive controller with nonlinear term measurable data compensation and nonlinear adaptive controller with nonlinear unknown increment estimation are designed respectively. Three adaptive controllers are used to the controlled plant coordinately through switching functions and switching rules, which not only ensures the stability of the closed-loop system but also improves the performance of the closed-loop system. The stability and convergence of the closed-loop switching system are analyzed. Finally, through the physical experiment of the level control system of the tank, the experimental results verify the effectiveness of the proposed algorithm. Copyright © 2020 Acta Automatica Sinica. All rights reserved.
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页码：2359 / 2366
页数：7
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