文献类型：期刊文献

英文题名：Fault detection and identification for a class of nonlinear systems with model uncertainty

作者：Yan, Bingyong[1];Su, Housheng[2];Ma, Wei[3,4]

机构：[1]E China Univ Sci & Technol, Sch Automat, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, 130 Meilong Rd, Shanghai 200237, Peoples R China;[2]Huazhong Univ Sci & Technol, Minist Educ China, Key Lab Image Proc & Intelligent Control, Sch Automat, Wuhan 430074, Peoples R China;[3]E China Univ Sci & Technol, Key Lab Adv Mat, 130 Meilong Rd, Shanghai 200237, Peoples R China;[4]E China Univ Sci & Technol, Inst Fine Chem, 130 Meilong Rd, Shanghai 200237, Peoples R China

年份：2016

卷号：40

期号：15-16

起止页码：7368

外文期刊名：APPLIED MATHEMATICAL MODELLING

收录：;EI(收录号：20161502227326);WOS:【SCI-EXPANDED(收录号:WOS:000378449500039)】；

基金：This work is supported by National Natural Science Foundation of China (Nos. 51407078 and 61473129). Special Fund of East China University of Science and Technology for Basic Scientific Research (WH1514049, WJ1313004-1 and H200-4-13192), the Program for New Century Excellent Talents in University from Chinese Ministry of Education under Grant NCET-12-0215, the Fundamental Research Funds for the Central Universities (HUST: Grant no. 2015TS025), the Fundamental Research Funds for the Central Universities (WUT: Grant no. 2015VI015), the Program for Changjiang Scholars and Innovative Research Team in University under Grant IRT1245.

语种：英文

外文关键词：Fault detection and identification; Predictive control; Iterative learning control

摘要：In this paper, we present a novel fault detection and identification (FDI) scheme for a class of nonlinear systems with model uncertainty. At the heart of this approach is an on-line approximator, referred to as fault tracking approximator (FTA). Differently from the other approximators, the FTA uses iterative algorithms to detect and identify nonlinear system faults, even in the presence of model uncertainty, which is motivated by predictive control theory and iterative learning control theory. The FTA can simultaneously detect and identify the shape and magnitude of the faults. The rigorous stability analysis and fault tracking properties of the FTA are also proved. Finally, two examples are given to illustrate the feasibility and effectiveness of the proposed approach. (C) 2016 Elsevier Inc. All rights reserved.