Sliding Mode Observer-Based Fault Estimation for Nonlinear Networked Control Systems

被引：64
|
作者：
Jiang, Bin [1 ]
Shi, Peng [2 ,3 ]
Mao, Zehui [1 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 210016, Peoples R China
[2] Univ Glamorgan, Dept Comp & Math Sci, Pontypridd CF37 1DL, M Glam, Wales
[3] Victoria Univ, Sch Sci & Engn, Melbourne, Vic 8001, Australia
来源：
CIRCUITS SYSTEMS AND SIGNAL PROCESSING | 2011年 / 30卷 / 01期
基金：
英国工程与自然科学研究理事会; 中国国家自然科学基金;
关键词：
Fault estimation; Nonlinear networked control systems; Sliding mode observer; TOLERANT CONTROL; STABILIZATION; DIAGNOSIS; STABILITY; DESIGN;
D O I：
10.1007/s00034-010-9203-7
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a novel sliding mode observer-based fault estimation (FE) method is presented for a class of nonlinear networked control systems (NCSs) with Markov transfer delays. Firstly, the nonlinear NCS is described by a nonlinear discrete Takagi-Sugeno (T-S) fuzzy model using the Euler approximation method. Then, a sliding mode based nonlinear discrete observer is proposed such that the sliding motion of the error dynamical system is asymptotically stable on a designed surface. Then the FE can be achieved through this observer. Finally, an example is included to show the efficiency of the proposed method.
引用
收藏
页码：1 / 16
页数：16
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