Unknown Input Observer for 2-D Fornasini-Marchesini System Using Descriptor System Approach

被引：0

作者：

Zhao Dong ^{[1
]}

Wang Youqing ^{[1
]}

Zhang Bin ^{[2
]}

机构：

[1] Beijing Univ Chem Technol, Coll Informat Sci & Technol, Beijing, Peoples R China

[2] China Informat Secur Certificat Ctr, Beijing, Peoples R China

来源：

2014 33RD CHINESE CONTROL CONFERENCE (CCC) | 2014年

关键词：

Two-dimensional systems; Fornasini-Marchesini model; unknown input observer; descriptor system approach; STATE-SPACE MODELS; FAULT-DETECTION; FUNCTIONAL OBSERVERS; NONLINEAR-SYSTEMS; SINGULAR SYSTEMS; DESIGN; RECONSTRUCTION; COMPENSATION; DIAGNOSIS; STABILITY;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper considers the problem of estimating the state and unknown input simultaneously for 2-D Fornasini-Marchesini system with unknown input in both state and measurement equations. The problem is solved by using descriptor system approach and then an asymptotically convergent observer was designed. Two cases, the gain matrix for the unknown input in measurement equation is not and/or is of full column rank, have been discussed. For these two cases, the corresponding sufficient and necessary condition and sufficient condition for the existence of the asymptotical observers are presented and proved in terms of rank condition, respectively. A numerical example is provided to illustrate the convergence properties of the observers and the effectiveness of the proposed method.

引用

页码：5979 / 5984

页数：6

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