Data-driven realizations of kernel and image representations and their application to fault detection and control system design

被引：138

作者：

Ding, Steven X. ^{[1
]}

Yang, Ying ^{[2
]}

Zhang, Yong ^{[1
,2
]}

Li, Linlin ^{[1
]}

机构：

[1] Univ Duisburg Essen, Inst Automat Control & Complex Syst AKS, Essen, Germany

[2] Peking Univ, Dept Mech & Engn Sci, State Key Lab Turbulence & Complex Syst, Beijing, Peoples R China

来源：

AUTOMATICA | 2014年 / 50卷 / 10期

关键词：

Data-driven methods; Observer-based fault detection and control; Kernel and image representations; IDENTIFICATION; MODEL;

D O I：

10.1016/j.automatica.2014.08.022

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 deals with the data-driven design of observer-based fault detection and control systems. We first introduce the definitions of the data-driven forms of kernel and image representations. It is followed by the study of their identification. In the context of a fault-tolerant architecture, the design of observer-based fault detection, feed-forward and feedback control systems are addressed based on the data-driven realization of the kernel and image representations. Finally, the main results are demonstrated on the laboratory continuous stirred tank heater (CSTH) system. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：2615 / 2623

页数：9

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