Dynamic Event-triggered Fuzzy Filtering for Semi-linear Parabolic PDE Systems: A Reduced-order Approach

被引：1
|
作者：
Zhang, Zhen [1 ]
Song, Xiaona [1 ]
Sun, Xiangliang [1 ]
机构：
[1] Henan Univ Sci & Technol, Sch Informat Engn, Luoyang 471023, Henan, Peoples R China
来源：
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS | 2024年 / 22卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Dynamic event-triggered mechanism; PDE systems; reduced-order filtering; T-S fuzzy model; FEEDBACK-CONTROL; CONTROL DESIGN; STABILIZATION;
D O I：
10.1007/s12555-021-1015-y
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 dynamic event-triggered fuzzy reduced-order filtering for a class of nonlinear semi-linear parabolic partial differential equation (PDE) systems. First, the considered systems are reconstructed by a Takagi-Sugeno (T-S) fuzzy model based on the sector nonlinearity approach. Furthermore, a dynamic event-triggered mechanism is developed to improve network resource utilization. Based on the non-parallel distribution compensation principle, several theorems that guarantee the augmented system's asymptotic stability with L2-L infinity performance are provided. Finally, two examples are introduced to illustrate the effectiveness of the proposed method.
引用
收藏
页码：406 / 418
页数：13
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