Descriptor state-bounding observer design for positive Markov jump linear systems with sensor faults: Simultaneous state and faults estimation

被引:18
|
作者
Song, Xiaoqi [1 ]
Lam, James [1 ]
Chen, Xiaoming [2 ]
Zhu, Bohao [1 ]
机构
[1] Univ Hong Kong, Dept Mech Engn, Pokfulam Rd, Hong Kong, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Dept Automat Control, Nanjing, Peoples R China
基金
中国国家自然科学基金;
关键词
descriptor system; fault estimation; Markov jump linear system; positive system; state-bounding observer; OUTPUT-FEEDBACK STABILIZATION; INTERVAL OBSERVER; STABILITY; CONTROLLER; PERFORMANCE; L-1-GAIN; ACTUATOR; DELAYS; FILTER; SETS;
D O I
10.1002/rnc.4870
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 article presents a descriptor observer design approach for positive Markov jump linear systems subject to interval parameter uncertainties and sensor faults. First, by taking the sensor fault term as an auxiliary state, an augmented descriptor system is constructed. A pair of positive observers with state-bounding feature is then proposed, which enables simultaneous estimation of the system state and sensor faults. A necessary and sufficient condition on existence of the desired state-bounding observer is derived by considering positivity and robust mean exponential stability of corresponding observer error dynamics. An iterative optimization algorithm is developed for the computation of the optimized observer matrices. Finally, a numerical example is presented to show the validity of the proposed methods.
引用
收藏
页码:2113 / 2129
页数:17
相关论文
共 50 条
  • [11] State estimation of jump Markov linear systems
    Carlemalm, C
    Logothetis, A
    Krishnamurthy, V
    PROCEEDINGS OF THE 37TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, 1998, : 263 - 268
  • [12] l1-induced state-bounding observer design for positive Takagi-Sugeno fuzzy systems
    Chen, Xiaoming
    Chen, Mou
    Shen, Jun
    Shao, Shuyi
    NEUROCOMPUTING, 2017, 260 : 490 - 496
  • [13] On the control of jump linear Markov systems with Markov state estimation
    Gupta, V
    Murray, RM
    Hassibi, B
    PROCEEDINGS OF THE 2003 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2003, : 2893 - 2898
  • [14] Asymptotic estimation of state and faults for linear systems with unknown perturbations
    Lan, Jianglin
    AUTOMATICA, 2020, 118
  • [15] Particle filters for state estimation of jump Markov linear systems
    Doucet, A
    Gordon, NJ
    Krishnamurthy, V
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2001, 49 (03) : 613 - 624
  • [16] State estimation for jump Markov linear systems with uncompensated biases
    Li, Wenling
    Jia, Yingmin
    Du, Junping
    Zhang, Jun
    Meng, Deyuan
    2013 AMERICAN CONTROL CONFERENCE (ACC), 2013, : 4903 - 4908
  • [17] Iterative algorithms for state estimation of jump Markov linear systems
    Doucet, A
    Andrieu, C
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2001, 49 (06) : 1216 - 1227
  • [18] Adaptive fault estimation observer design for switched systems with actuator and sensor faults
    Yang, Yue
    Du, Dongsheng
    Wu, Yu
    Zhao, Huanyu
    PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020), 2020, : 3383 - 3388
  • [19] Robust State Estimation for Positive Real Infinite-Dimensional Systems With Actuator and Sensor Faults
    Xu, Xiaodong
    Dubljevic, Stevan
    IEEE SYSTEMS JOURNAL, 2021, 15 (04): : 4887 - 4894
  • [20] Simultaneous Actuator and Sensor Faults Estimation for Aircraft Using a Jump-Markov Regularized Particle Filter
    Iglesis, Enzo
    Horri, Nadjim
    Brusey, James
    Dahia, Karim
    Piet-Lahanier, Helene
    2021 IEEE INTERNATIONAL CONFERENCE ON PROGNOSTICS AND HEALTH MANAGEMENT (ICPHM), 2021,