The orthotopic spatial extension filtering based system identification algorithm for time-varying parameter systems

被引：0

作者：

Wang Z.-Y. ^{[1
,2
]}

Zhang S. ^{[1
]}

Wang Y. ^{[1
]}

Liu Z.-X. ^{[1
]}

Ji Z.-C. ^{[1
]}

机构：

[1] Engineering Research Center of Internet of Things Technology Applications (Ministry of Education), Jiangnan University, Wuxi, 214122, Jiangsu

[2] Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi, 214122, Jiangsu

来源：

Kongzhi Lilun Yu Yingyong/Control Theory and Applications | 2020年 / 37卷 / 06期

基金：

中国国家自然科学基金; 中国博士后科学基金;

关键词：

Filtering; Orthotopic; Parameter identification; Spatial extension; Time-varying parameter;

D O I：

10.7641/CTA.2019.90661

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A parameter identification method for unknown but bounded noise time-varying parameter systems is proposed, based on the orthotopic spatial extension filtering. The bounded error method is used to model the measurement noise and parameter variation process, and the orthotopic volume is expanded by the optimized expansion coefficient, so that the orthotope contains the changed parameter values, the expansion coefficient equation is constructed by the timeinvariant parameter system constraints, and the first k steps for all the expansion coefficient values can be solved by the linear programming method. Select the maximum value as the final expansion coefficient and use the expansion coefficient to update the variable parameter orthotopic constraints, and solve the minimum and minimum values of each parameter to obtain the most compact orthotope of the feasible domain for wrapping the parameters. The simulations show the effectiveness and accuracy of the presented algorithm when identifying time-varying parameters. © 2020, Editorial Department of Control Theory & Applications South China University of Technology. All right reserved.

引用

页码：1311 / 1318

页数：7

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