Joint state and fault estimation for nonlinear complex networks with mixed time-delays and uncertain inner coupling: non-fragile recursive method

被引:16
|
作者
Feng, Shuyang [1 ]
Yu, Hui [1 ]
Jia, Chaoqing [2 ]
Gao, Pingping [2 ]
机构
[1] Harbin Univ Sci & Technol, Sch Automat, Harbin, Peoples R China
[2] Harbin Univ Sci & Technol, Dept Math, Harbin, Peoples R China
基金
中国国家自然科学基金;
关键词
Time-varying complex networks; joint estimation; non-fragile recursive method; mixed time-delays; uncertain inner coupling; COMMUNICATION PROTOCOL;
D O I
10.1080/21642583.2022.2086183
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, the non-fragile joint state and fault estimation problem is investigated for a class of nonlinear time-varying complex networks (NTVCNs) with uncertain inner coupling and mixed time-delays. Compared with the constant inner coupling strength in the existing literature, the inner coupling strength is permitted to vary within certain intervals. A new non-fragile model is adopted to describe the parameter perturbations of the estimator gain matrix which is described by zero-mean multiplicative noises. The attention of this paper is focussed on the design of a locally optimal estimation method, which can estimate both the state and the fault at the same time. Then, by reasonably designing the estimator gain matrix, the minimized upper bound of the state estimation error covariance matrix (SEECM) can be obtained. In addition, the boundedness analysis is taken into account, and a sufficient condition is provided to ensure the boundedness of the upper bound of the SEECM by using the mathematical induction. Lastly, a simulation example is provided to testify the feasibility of the joint state and fault estimation scheme.
引用
收藏
页码:603 / 615
页数:13
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