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Optimal Cost Control for Variable Sampling Period Network Control System with Actuator Failure

Received: 18 July 2016    Accepted: 28 July 2016    Published: 17 August 2016
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Abstract

This paper considers the networked control systems (NCSs) with the varying sampling period and actuator failure. When the NCSs are modeled, the varying sampling period was described by a constant sampling period and a network delay. Base on this and the actuator failed, using the Lyapunov stability theory and linear matrix inequalities to prove the existence of the cost guaranteed performance, and obtain the optimal cost guaranteed performance controller.

Published in Automation, Control and Intelligent Systems (Volume 4, Issue 4)
DOI 10.11648/j.acis.20160404.11
Page(s) 66-72
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Network Control System, Varying Sampling Period, Delay, Actuator Failure, Optimal Cost Guaranteed Performance

References
[1] Gregory C. Walsh, Hong Ye, Linda G. Bushnell. "Stability analysis of networked control systems." Control Systems Technology IEEE Transactions 10 (2002): 438-446.
[2] Kun-Qiu Sun. "Guaranteed Cost Control Research for Networked Control Systems with Time-varying Sampling" Shenyang University of technology 2016.
[3] FAN Jinrong. "Optimal cost control for networked control system with variable sampling period." Engineering Journal of Wuhan University 44. 6 (2011): 806-811.
[4] Kim Dong Sung, Young Sam Lee, Wook Hyun Kwon, Hong Seong Park. "Maximum allowable delay bounds of networked control systems." Control Engineering Practice 11. 11 (2003): 1301-1313.
[5] Miao Qi, Zhang Duanjin. "Recent Progression of Fault-Tolerant Control" Electrical Automation 2007, 9 (2).
[6] Huo Zhihong, Fang Huajing, Yan Guihuan. "Co-design for NCS robust fault-tolerant control" Transactions on Automatic Control 2004, 49 (2): 281-287.
[7] Zheng. Y. "Fault diagnosis and fault tolerant control of networked control system" Wuhan: Huazhong University of Science and Technology 2003.
[8] Gao Huijun, Wu Junli, Shi Peng. “Robust sampled-data H∞ control with stochastic sampling" Automatica 2009, 45 (7).
[9] FAN Jin-rong, FANG Hua-jing. "Robust fault tolerant control for networked control system with variable sampling period" Control Engineering of China 20. 5 (2013): 859-863.
[10] Yi Jianqiang. "BP neural network prediction-based variable-period sampling approach for networked control systems" Applied Mathematics & Computation 185. 2 (2007): 976-988.
[11] Xie Guangming, Wang Long. "Stabilization of NCSs with time-varying transmission period." IEEE International Conference on Systems, Man and Cybernetics 2005: 3759-3763 Vol. 4.
[12] Yu-Long Wang, Guang-Hong Yang. "H∞ Controller design for network control system via active-varying sampling period method." ACTA AUTOMATICA SINICA 2008, 34 (7) 814-818.
[13] Li Wei, Y Li, and W Liu. "Robust Fault Tolerant Control for Networked Control Systems with Uncertain Disturbance." Mechatronics and Automation, 2007. ICMA 2007. International Conference on IEEE, 2007: 2813-2818.
[14] Li Yu. "An LMI approach to reliable guaranteed cost control of discrete-time systems with actuator failure." Applied Mathematics & Computation 162. 3 (2005): 1325-1331.
[15] Li Yu. "Robust control- Linear matrix inequality approach." Beijing: Tsinghua University Press 2002.
[16] C. Van Loan. "Computing integrals involving the matrix exponential." Automatic Control IEEE Transactions 23. 3 (1978): 395-404.
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  • APA Style

    Ling Wang, Nan Xie. (2016). Optimal Cost Control for Variable Sampling Period Network Control System with Actuator Failure. Automation, Control and Intelligent Systems, 4(4), 66-72. https://doi.org/10.11648/j.acis.20160404.11

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    ACS Style

    Ling Wang; Nan Xie. Optimal Cost Control for Variable Sampling Period Network Control System with Actuator Failure. Autom. Control Intell. Syst. 2016, 4(4), 66-72. doi: 10.11648/j.acis.20160404.11

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    AMA Style

    Ling Wang, Nan Xie. Optimal Cost Control for Variable Sampling Period Network Control System with Actuator Failure. Autom Control Intell Syst. 2016;4(4):66-72. doi: 10.11648/j.acis.20160404.11

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  • @article{10.11648/j.acis.20160404.11,
      author = {Ling Wang and Nan Xie},
      title = {Optimal Cost Control for Variable Sampling Period Network Control System with Actuator Failure},
      journal = {Automation, Control and Intelligent Systems},
      volume = {4},
      number = {4},
      pages = {66-72},
      doi = {10.11648/j.acis.20160404.11},
      url = {https://doi.org/10.11648/j.acis.20160404.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20160404.11},
      abstract = {This paper considers the networked control systems (NCSs) with the varying sampling period and actuator failure. When the NCSs are modeled, the varying sampling period was described by a constant sampling period and a network delay. Base on this and the actuator failed, using the Lyapunov stability theory and linear matrix inequalities to prove the existence of the cost guaranteed performance, and obtain the optimal cost guaranteed performance controller.},
     year = {2016}
    }
    

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    T1  - Optimal Cost Control for Variable Sampling Period Network Control System with Actuator Failure
    AU  - Ling Wang
    AU  - Nan Xie
    Y1  - 2016/08/17
    PY  - 2016
    N1  - https://doi.org/10.11648/j.acis.20160404.11
    DO  - 10.11648/j.acis.20160404.11
    T2  - Automation, Control and Intelligent Systems
    JF  - Automation, Control and Intelligent Systems
    JO  - Automation, Control and Intelligent Systems
    SP  - 66
    EP  - 72
    PB  - Science Publishing Group
    SN  - 2328-5591
    UR  - https://doi.org/10.11648/j.acis.20160404.11
    AB  - This paper considers the networked control systems (NCSs) with the varying sampling period and actuator failure. When the NCSs are modeled, the varying sampling period was described by a constant sampling period and a network delay. Base on this and the actuator failed, using the Lyapunov stability theory and linear matrix inequalities to prove the existence of the cost guaranteed performance, and obtain the optimal cost guaranteed performance controller.
    VL  - 4
    IS  - 4
    ER  - 

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Author Information
  • College of Computer Science and Technology, Shandong University of Technology, Zibo, China

  • College of Computer Science and Technology, Shandong University of Technology, Zibo, China

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