Space-sampling-based fault detection for nonlinear spatiotemporal dynamic systems with Markovian switching channel

被引：7
|
作者：
Song, Xiaona [1 ]
Wang, Mi [1 ]
Song, Shuai [2 ]
Ning, Zhaoke [1 ]
机构：
[1] Henan Univ Sci & Technol, Sch Informat Engn, Luoyang 471023, Peoples R China
[2] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Peoples R China
来源：
INFORMATION SCIENCES | 2020年 / 520卷
关键词：
Fault detection; Takagi-Sugeno fuzzy model; Piecewise measurements; Space sampling; Switching transmission channel; DISTRIBUTED-PARAMETER SYSTEMS; OUTPUT-FEEDBACK CONTROL; SEMILINEAR PARABOLIC PDE; DESIGN;
D O I：
10.1016/j.ins.2020.02.032
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 technical note is devoted to investigating the fault detection problem for a class of nonlinear spatiotemporal dynamic systems. Initially, by using sector nonlinearity approach, the considered nonlinear systems are represented by an Takagi-Sugeno fuzzy model. Second, a new measure method, piecewise measure, is introduced to save the cost of system design. Furthermore, taking into account the switching network transmission channel, a mode-dependent asynchronous fuzzy diagnostic observer is constructed. Then, the sufficient conditions that guarantee the disturbance/control-inputs robustness and fault sensitivity are established to optimize the fault detection system's performance. Finally, a practical application (cooling fin of a high-speed aerospace vehicle) is given to illustrate the effectiveness of the developed diagnostic observer design strategy. (c) 2020 Elsevier Inc. All rights reserved.
引用
收藏
页码：400 / 415
页数：16
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