详细信息

H∞ Fault Detection for Networked Mechanical Spring-Mass Systems With Incomplete Information  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:H∞ Fault Detection for Networked Mechanical Spring-Mass Systems With Incomplete Information

作者:Yan, Huaicheng[1,2];Qian, Fengfeng[1,2];Zhang, Hao[3];Yang, Fuwen[4];Guo, Ge[5]

机构:[1]East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China;[3]Tongji Univ, Dept Control Sci & Engn, Shanghai 200092, Peoples R China;[4]Griffith Univ, Sch Engn, Gold Coast, Qld 4222, Australia;[5]Dalian Maritime Univ, Sch Informat Sci & Technol, Dalian 116026, Peoples R China

年份:2016

卷号:63

期号:9

起止页码:5622

外文期刊名:IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

收录:;EI(收录号:20163402731802);WOS:【SCI-EXPANDED(收录号:WOS:000384641600032)】;

基金:This work was supported in part by the National Natural Science Foundation of China under Grant 61273026, Grant 61272064, and Grant 61573077, in part by the Shanghai International Science and Technology Cooperation Project 15220710700, in part by the Shanghai Pujiang Program under Grant 14PJ1409000, in part by the Australian Research Council Discovery Project under Grant DP160103567, in part by the Open Foundation of First Level Zhejiang Key in Key Discipline of Control Science and Engineering, in part by the State Key Laboratory of Robotics and Systems (HIT) under Grant SKLRS-2016-KF-03, and in part by the Fundamental Research Funds for the Central Universities.

语种:英文

外文关键词:Distributed state delays; fault detection (FD); multiplicative noises; networked spring-mass system (NSMSs); random packet losses; sensor saturation

摘要:This paper focuses on the H-infinity fault detection (FD) problem for spring-mass systems (SMSs) over networks with distributed state delays, random packet losses, sensor saturation as well as multiplicative noises via unreliable communication channels. The output measurements are affected by sensor saturation which is described by sector-nonlinearities. The multiplicative noises are described as a form of Gaussian white noises multiplied by the states. A series of stochastic variables are introduced to describe the randomly occurring distributed state delays. Random packet losses are also introduced in unreliable communications. The purpose of this paper is to design an FD filter such that: 1) The FD dynamic system is exponentially stable in the mean square. 2) The error between the fault signal and the residual signal is controlled to the minimum. 3) The optimal H-infinity filtering performance index is achieved. A sufficient condition for the FD filter design is derived in terms of the solution to a linear matrix inequality (LMI). When the LMI has a feasible solution, the explicit parameters of the desired FD filter can be obtained. Finally, a simulation experiment is illustrated to show the effectiveness and application of the designed method.

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