IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v403y2021ics009630032100285x.html
   My bibliography  Save this article

Distributed finite-time fault estimation and fault-tolerant control for cyber-physical systems with matched uncertainties

Author

Listed:
  • Zhu, Baopeng
  • Wang, Yingchun
  • Zhang, Huaguang
  • Xie, Xiangpeng

Abstract

This paper is concerned with finite-time distributed fault estimation (DFE) and fault-tolerant control (DFTC) for cyber-physical systems (CPSs) with actuator faults and matched uncertainties. First, in order to deal with the partly unmeasurable states, matched uncertainties and actuator faults with the loss of effectiveness and bias, a distributed fault estimation observer (DFEO) is designed based on the functional observer with an adaptive compensator. Then, a distributed fault-tolerant controller (DFTCr) is designed to compensate faults effect on the interconnected CPSs based on the integral sliding mode control (SMC) technique, which ensures that the closed-loop systems reach a given boundedness in a predefined finite time. Moreover, some sufficient conditions in the form of linear matrix inequalities are proposed to guarantee the finite-time boundedness with H∞ performance (FTB-H∞). Due to introducing more degrees of freedom of the functional observer, the designed finite-time distributed fault-tolerant controller is more flexible and less conservative. Finally, a numerical simulation on the three-machine power systems is acquired to show the validity of the proposed method.

Suggested Citation

  • Zhu, Baopeng & Wang, Yingchun & Zhang, Huaguang & Xie, Xiangpeng, 2021. "Distributed finite-time fault estimation and fault-tolerant control for cyber-physical systems with matched uncertainties," Applied Mathematics and Computation, Elsevier, vol. 403(C).
  • Handle: RePEc:eee:apmaco:v:403:y:2021:i:c:s009630032100285x
    DOI: 10.1016/j.amc.2021.126195
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S009630032100285X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2021.126195?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wang, Dongji & Chen, Fei & Meng, Bo & Hu, Xingliu & Wang, Jing, 2021. "Event-based secure H∞ load frequency control for delayed power systems subject to deception attacks," Applied Mathematics and Computation, Elsevier, vol. 394(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mu, Yunfei & Zhang, Huaguang & Yan, Yuqing & Wang, Yingchun, 2023. "A novel design approach to state and fault estimation for interconnected systems using distributed observer," Applied Mathematics and Computation, Elsevier, vol. 449(C).
    2. Peixoto, Márcia L.C. & Coutinho, Pedro H.S. & Nguyen, Anh-Tu & Guerra, Thierry-Marie & Palhares, Reinaldo M., 2024. "Fault estimation for nonlinear parameter-varying time-delayed systems," Applied Mathematics and Computation, Elsevier, vol. 465(C).
    3. Oliveira, Pedro M. & Palma, Jonathan M. & Lacerda, Márcio J., 2022. "H2 state-feedback control for discrete-time cyber-physical uncertain systems under DoS attacks," Applied Mathematics and Computation, Elsevier, vol. 425(C).
    4. Zhou, Zepeng & Zhu, Fanglai & Xu, Dezhi & Guo, Shenghui & Zhao, Younan, 2022. "Attack resilient control for vehicle platoon system with full states constraint under actuator faulty scenario," Applied Mathematics and Computation, Elsevier, vol. 419(C).
    5. Ye, Hu & Cheng, Peng & Zhang, Xiang & He, Shuping & Zhang, Weidong, 2023. "Event-triggered-based H∞ control for Markov jump cyber-physical systems against denial-of-service attacks," Applied Mathematics and Computation, Elsevier, vol. 451(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xinghua Liu & Siwei Qiao & Zhiwei Liu, 2023. "A Survey on Load Frequency Control of Multi-Area Power Systems: Recent Challenges and Strategies," Energies, MDPI, vol. 16(5), pages 1-22, February.
    2. Wu, Jiacheng & Su, Lei & Li, Shaoming & Wang, Jing & Chen, Xiangyong, 2021. "Extended dissipative filtering for singularly perturbed systems with random uncertain measurement: A double-layer switching mechanism," Applied Mathematics and Computation, Elsevier, vol. 410(C).
    3. Chang, Beibei & Mu, Xiaowu & Yang, Zhe & Fang, Jianyin, 2021. "Event-based secure consensus of muti-agent systems under asynchronous DoS attacks," Applied Mathematics and Computation, Elsevier, vol. 401(C).
    4. Yang, Yi & Chen, Fei & Lang, Jiahong & Chen, Xiangyong & Wang, Jing, 2021. "Sliding mode control of persistent dwell-time switched systems with random data dropouts," Applied Mathematics and Computation, Elsevier, vol. 400(C).
    5. Zhang, Zhipeng & Wang, Huimin, 2022. "Resilient decentralized adaptive tracking control for nonlinear interconnected systems with unknown control directions against DoS attacks," Applied Mathematics and Computation, Elsevier, vol. 415(C).
    6. Lv, Yuan-Wei & Yang, Guang-Hong, 2022. "An adaptive cubature Kalman filter for nonlinear systems against randomly occurring injection attacks," Applied Mathematics and Computation, Elsevier, vol. 418(C).
    7. Tengfei Weng & Yan Xie & Guorong Chen & Qi Han & Yuan Tian & Liping Feng & Yangjun Pei, 2022. "Load frequency control under false data inject attacks based on multi-agent system method in multi-area power systems," International Journal of Distributed Sensor Networks, , vol. 18(4), pages 15501329221, April.
    8. Wang, Yingchun & Yan, Wei & Zhang, Huaguang & Xie, Xiangpeng, 2022. "Observer-based dynamic event-triggered H∞ LFC for power systems under actuator saturation and deception attack," Applied Mathematics and Computation, Elsevier, vol. 420(C).
    9. Long, Changqing & Zhang, Guodong & Hu, Junhao, 2021. "Fixed-time synchronization for delayed inertial complex-valued neural networks," Applied Mathematics and Computation, Elsevier, vol. 405(C).
    10. Oliveira, Pedro M. & Palma, Jonathan M. & Lacerda, Márcio J., 2022. "H2 state-feedback control for discrete-time cyber-physical uncertain systems under DoS attacks," Applied Mathematics and Computation, Elsevier, vol. 425(C).
    11. Zeng, Hong-Bing & Zhai, Zheng-Liang & Wang, Wei, 2021. "Hierarchical stability conditions of systems with time-varying delay," Applied Mathematics and Computation, Elsevier, vol. 404(C).
    12. Liu, Xinrui & Zhang, Mingchao & Xie, Xiangpeng & Zhao, Liang & Sun, Qiuye, 2022. "Consensus-based energy management of multi-microgrid: An improved SoC-based power coordinated control method," Applied Mathematics and Computation, Elsevier, vol. 425(C).
    13. Dai, Shifang & Zha, Lijuan & Liu, Jinliang & Xie, Xiangpeng & Tian, Engang, 2022. "Fault detection filter design for networked systems with cyber attacks," Applied Mathematics and Computation, Elsevier, vol. 412(C).
    14. Jeong, Juyoung & Lim, Yongdo & Parivallal, Arumugam, 2023. "An asymmetric Lyapunov-Krasovskii functional approach for event-triggered consensus of multi-agent systems with deception attacks," Applied Mathematics and Computation, Elsevier, vol. 439(C).
    15. Zhang, Juan & Zhang, Huaguang & Cai, Yuliang & Wang, Wei, 2021. "Consensus control for nonlinear multi-agent systems with event-triggered communications," Applied Mathematics and Computation, Elsevier, vol. 408(C).
    16. Jung, H.I. & Han, S.Y. & Singh, Satnesh & Lee, S.M., 2021. "Polynomially parameter dependent exponential stabilization of sampled-data LPV systems," Applied Mathematics and Computation, Elsevier, vol. 411(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:apmaco:v:403:y:2021:i:c:s009630032100285x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.