Fault Diagnosis Observer Design for Discrete-Time Delayed Complex Interconnected Networks with Linear Coupling

被引：2
|
作者：
Wang, Zhanshan [1 ]
Guan, Huanxin [2 ]
Zheng, Chengde [3 ]
机构：
[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110004, Peoples R China
[2] Shenyang Inst Engn, Dept Elect Engn, Shenyang 110136, Peoples R China
[3] Dalian Jiaotong Univ, Dept Math, Dalian 116028, Peoples R China
来源：
MATHEMATICAL PROBLEMS IN ENGINEERING | 2012年 / 2012卷
基金：
中国国家自然科学基金;
关键词：
GLOBAL SYNCHRONIZATION; ASYMPTOTIC STABILITY; STATE ESTIMATION; SYSTEMS; ACCOMMODATION;
D O I：
10.1155/2012/860489
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Fault diagnosis for a class of discrete-time delayed complex interconnected networks with linear coupling in the case of actuator fault is studied. For the case of unavailability of network state, a state observer is first designed. Then a fault diagnosis observer is designed to detect the actuator fault on the basis of online adaptive approximator, which can approximate the unmodeled dynamics of the complex networks. Lastly, by choosing a suitable threshold, the actuator fault can be detected. A numerical simulation is used to show the effectiveness of the proposed method.
引用
收藏
页数：22
相关论文
共 50 条
  • [21] Relaxed passivity conditions for discrete-time stochastic delayed neural networks
    Kang, Wei
    Zhong, Shouming
    Cheng, Jun
    INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2016, 7 (02) : 205 - 216
  • [22] Fault Estimation Based on the Observer Design for Discrete-time Takagi-Sugeno Descriptor Models
    Ouarid, Kaoutar
    El Assoudi, Abdellatif
    Soulami, Jalal
    El Yaagoubi, El Hassane
    2019 THIRD INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING IN DATA SCIENCES (ICDS 2019), 2019,
  • [23] Discrete-Time Framework for Fault Diagnosis in Robotic Manipulators
    Caccavale, Fabrizio
    Marino, Alessandro
    Muscio, Giuseppe
    Pierri, Francesco
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2013, 21 (05) : 1858 - 1873
  • [24] Synchronisation of discrete-time complex networks with randomly occurring uncertainties, nonlinearities and time-delays
    Banu, L. Jarina
    Balasubramaniam, P.
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2014, 45 (07) : 1427 - 1450
  • [25] Actuator Fault Estimation Technique Based on a Discrete-Time Observer Structure
    Liscinsky, Pavol
    PROCEEDINGS OF THE 2016 17TH INTERNATIONAL CARPATHIAN CONTROL CONFERENCE (ICCC), 2016, : 446 - 450
  • [26] On Interval Observer Design for Time-Invariant Discrete-Time Systems
    Efimov, Denis
    Perruquetti, Wilfrid
    Raissi, Tarek
    Zolghadri, Ali
    2013 EUROPEAN CONTROL CONFERENCE (ECC), 2013, : 2651 - 2656
  • [27] Cluster Synchronization for Discrete-Time Complex Networks
    Wang, Huiwei
    Song, Qiankun
    ADVANCES IN NEURAL NETWORKS - ISNN 2011, PT I, 2011, 6675 : 231 - +
  • [28] Stability of discrete-time fractional-order time-delayed neural networks in complex field
    Pratap, Anbalagan
    Raja, Ramachandran
    Cao, Jinde
    Huang, Chuangxia
    Niezabitowski, Michal
    Bagdasar, Ovidiu
    MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2021, 44 (01) : 419 - 440
  • [29] Interval observer design for nonlinear discrete-time dynamic systems
    Zhirabok, Alexey
    Zuev, Alexander
    Filaretov, Vladimir
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2024, 38 (06) : 2045 - 2055
  • [30] New Results on Passivity Analysis of Delayed Discrete-Time Stochastic Neural Networks
    Yu, Jianjiang
    DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2009, 2009
12345