Observer-based fault detection for uncertain nonlinear systems

被引：23
|
作者：
Han, Huayun [1 ,3 ]
Yang, Ying [1 ]
Li, Linlin [2 ]
Ding, Steven X. [3 ]
机构：
[1] Peking Univ, Coll Engn, Dept Mech & Engn Sci, State Key Lab Turbulence & Complex Syst, Beijing 100871, Peoples R China
[2] Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
[3] Univ Duisburg Essen, Inst Automat Control & Complex Syst, D-47057 Duisburg, Germany
来源：
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2018年 / 355卷 / 03期
基金：
北京市自然科学基金; 中国国家自然科学基金;
关键词：
NETWORKED CONTROL-SYSTEMS; SLIDING MODE OBSERVERS; H-INFINITY CONTROL; ROBUST STABILIZATION; SENSOR; RECONSTRUCTION; APPROXIMATIONS; DIAGNOSIS;
D O I：
10.1016/j.jfranklin.2017.12.021
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 addresses L-2 observer-based fault detection issues for a class of nonlinear systems in the presence of parametric and dynamic uncertainties, respectively. To this end, three different types of uncertain affine nonlinear system models studied in this paper are described first. Then, the integrated design schemes of L-2 observer-based fault detection systems are derived with the aid of Hamilton-Jacobi inequalities (HJIs), respectively. Numerical examples are also provided in the end to demonstrate the effectiveness of the proposed results. (c) 2018 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：1278 / 1295
页数：18
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