Event-triggered reliable H∞ fuzzy filtering for nonlinear parabolic PDE systems with Markovian jumping sensor faults

被引：46

作者：

Song, Xiaona ^{[1
]}

Wang, Mi ^{[1
]}

Zhang, Baoyong ^{[2
]}

Song, Shuai ^{[2
]}

机构：

[1] Henan Univ Sci & Technol, Sch Informat Engn, Luoyang 471023, Peoples R China

[2] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Jiangsu, Peoples R China

来源：

INFORMATION SCIENCES | 2020年 / 510卷 / 50-69期

基金：

中国国家自然科学基金;

关键词：

Event-triggered mechanism; Markovian jumping sensor faults; PDE systems; Quantized output signal; T-S fuzzy model; DISTRIBUTED-PARAMETER SYSTEMS; NETWORKED SYSTEMS; ROBUST; DESIGN; STABILIZATION; ACTUATOR; CONTROLLER; OUTPUT;

D O I：

10.1016/j.ins.2019.09.012

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 devoted to even-triggered reliable H-infinity filter design for a class of nonlinear partial differential equation (PDE) systems with Markovian jumping sensor faults. Initially, a Takagi-Sugeno (T-S) fuzzy model is adopted to reconstruct the nonlinear systems. Then, the time delays and signal quantization that often occur in network transmission are taken into account, and an integral-type event-triggered scheme is developed to improve the transmission channel utilization. Furthermore, non-parallel-distributed-compensation technique is introduced to increase the flexibility of filter design and the filter's parameters can be obtained by solving several linear matrix inequalities. Finally, two numerical simulations and an application study to Catalytic Rod are provided to demonstrate the effectiveness and practicability of the proposed methodology. (C) 2019 Elsevier Inc. All rights reserved.

引用

页码：50 / 69

页数：20

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