Observer Design for Linear Aperiodic Sampled-Data Systems: A Hybrid Systems Approach

被引:15
作者
Ferrante, Francesco [1 ]
Seuret, Alexandre [2 ]
机构
[1] Univ Grenoble Alpes, GIPSA Lab, CNRS, F-38000 Grenoble, France
[2] Univ Toulouse, CNRS, LAAS, F-31400 Toulouse, France
来源
IEEE CONTROL SYSTEMS LETTERS | 2022年 / 6卷
关键词
Observers; Stability; Estimation error; Control theory; Time measurement; Symmetric matrices; Sampled data systems; Hybrid systems; sampled-data systems; LMIs; observer design; STABILITY ANALYSIS; STATE; STABILIZATION;
D O I
10.1109/LCSYS.2021.3081345
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Observer design for linear systems with aperiodic sampled-data measurements is addressed. To solve this problem, a novel hybrid observer is designed. The main peculiarity of the proposed observer consists of the use of two output injection terms, one acting at the sampling instants and one providing an intersample injection. The error dynamics are augmented with a timer variable triggering the arrival of a new measurement and analyzed via hybrid system tools. Using Lyapunov theory, sufficient conditions for the convergence of the observer are provided. Relying on those conditions, an optimal LMI-based design is proposed for the observer gains. The effectiveness of the approach is illustrated in an example.
引用
收藏
页码:470 / 475
页数:6
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