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Volume 9 Issue 10
Oct.  2022

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2022  >  9(10): 1717-1751
X. B. Ping, J. C. Hu, T. Y. Lin, B. C. Ding, P. Wang, and Z. W. Li, “A survey of output feedback robust MPC for linear parameter varying systems,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 10, pp. 1717–1751, Oct. 2022. doi: 10.1109/JAS.2022.105605
Citation: X. B. Ping, J. C. Hu, T. Y. Lin, B. C. Ding, P. Wang, and Z. W. Li, “A survey of output feedback robust MPC for linear parameter varying systems,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 10, pp. 1717–1751, Oct. 2022. doi: 10.1109/JAS.2022.105605
shu

A Survey of Output Feedback Robust MPC for Linear Parameter Varying Systems

doi: 10.1109/JAS.2022.105605
  • 1.

    Department of Automation, School of Electro-Mechanical Engineering, Xidian University, Xi’an 710071, China

  • 2.

    Ministry of Education Key Laboratory for Intelligent Networks and Network Security, School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China

  • 3.

    State Key Laboratory of Intelligent Manufacturing System Technology, Beijing Institute of Electronic System Engineering, Beijing 100854, China

  • 4.

    College of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

  • 5.

    Information and Navigation College, Air Force Engineering University, Xi’an 710077, China

  • 6.

    School of Electro-Mechanical Engineering, Xidian University, Xi’an 710071, and also with the Institute of System Engineering, Macau University of Science and Technology, Macau SAR, China

Funds:  This work was supported in part by the National Natural Science Foundation of China (62103319, 62073053, 61773396)
More Information
    Abstract
  • For constrained linear parameter varying (LPV) systems, this survey comprehensively reviews the literatures on output feedback robust model predictive control (OFRMPC) over the past two decades from the aspects on motivations, main contributions, and the related techniques. According to the types of state observer systems and scheduling parameters of LPV systems, different kinds of OFRMPC approaches are summarized and compared. The extensions of OFRMPC for LPV systems to other related uncertain systems are also investigated. The methods of dealing with system uncertainties and constraints in different kinds of OFRMPC optimizations are given. Key issues on OFRMPC optimizations for LPV systems are discussed. Furthermore, the future research directions on OFRMPC for LPV systems are suggested.

     

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    Highlights

    • Different classifications of output feedback robust model predictive control approaches for linear parameter varying systems and the related uncertain systems are summarized and compared
    • The methods of dealing with system uncertainties and physical constraints in different classifications of output feedback robust model predictive control optimizations for linear parameter varying systems are given
    • Key issues on output feedback robust model predictive control optimizations for linear parameter varying systems are discussed
    • Future research directions on output feedback robust model predictive control for linear parameter varying systems are suggested

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