Zonotopic state bounding for 2-D systems with dynamic event-triggered mechanism

被引:5
|
作者
Fei, Zhongyang [1 ,2 ]
Yang, Liu [3 ]
Guan, Chaoxu [4 ]
Wu, Yuhu [1 ,2 ]
机构
[1] Dalian Univ Technol, Key Lab Intelligent Control & Optimizat Ind Equip, Minist Educ, Dalian 116024, Peoples R China
[2] Dalian Univ Technol, Sch Control Sci & Engn, Dalian 116024, Peoples R China
[3] Harbin Inst Technol, Res Inst Intelligent Control & Syst, Harbin 150001, Peoples R China
[4] Dongguan Univ Technol, Sch Elect Engn & Intelligentizat, Dongguan 523000, Peoples R China
基金
中国国家自然科学基金;
关键词
Zonotopic state estimation; Fornasini-Marchesini local state-space; model; Roesser model; Dynamic event-triggered mechanism; Optimal observer design; STABILITY;
D O I
10.1016/j.automatica.2023.111066
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 investigates the problem of zonotope-based state estimation for 2-D systems represented by both the Fornasini-Marchesini local state-space (FMLSS) model and the Roesser model with dynamic event-triggered mechanism (ETM) where the exogenous disturbance and measurement noise are assumed to be unknown-but-bounded (UBB). First, considering the different characteristics of these two models, we design different dynamic ETMs for both FMLSS type and Roesser type respectively. A zonotopic set-membership estimation approach is proposed for the considered 2-D system to obtain the estimation interval. Then, three optimal observer design methods are proposed for different scenarios. In addition, the relationship of the proposed criteria is further discussed between the 2-D augmented error FMLSS system and the 2-D augmented error Roesser system considered in this paper. Finally, simulation results are given to illustrate the effectiveness of the proposed methods. (c) 2023 Published by Elsevier Ltd.
引用
收藏
页数:15
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