Resilient H∞ State Estimation for State-Saturated Systems: A Dynamic Event-Triggered Approach

被引:0
作者
Liu, Yufei [1 ]
Li, Qi [2 ]
Shen, Bo [1 ]
机构
[1] Donghua Univ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China
[2] Hangzhou Normal Univ, Inst Serv Engn, Hangzhou 311121, Peoples R China
来源
PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC) | 2019年
基金
上海市自然科学基金; 中国国家自然科学基金;
关键词
Dynamic event-triggered mechanism; resilient state estimation; H(infinity )performance; state saturation; RANDOMLY OCCURRING NONLINEARITIES; STOCHASTIC NONLINEARITIES; COMMUNICATION;
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 is concerned with the dynamic event-triggered H-infinity state estimation problem for a class of discrete time-delay systems subject to state saturations and gain perturbations. In order to reduce energy consumption, a dynamic event-triggered mechanism is employed to decide whether the received measurement output should be transmitted to the corresponding state estimator or not. The aim of this paper is to design a dynamic event-triggered resilient H-infinity state estimator such that the error dynamics of state estimation is asymptotically stable with a prescribed H-infinity performance index. By using the Lyapunov method, a sufficient condition is derived to guarantee the existence of the desired state estimator whose gain matrix is obtained by solving a set of matrix inequalities. An illustrate example is provided to demonstrate the effectiveness of the proposed state estimation scheme.
引用
收藏
页码:112 / 117
页数:6
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