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

  • Xubin Ping
  • , Jianchen Hu
  • , Tingyu Lin
  • , Baocang Ding
  • , Peng Wang
  • , Zhiwu Li

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

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.

Original languageEnglish
Pages (from-to)1717-1751
Number of pages35
JournalIEEE/CAA Journal of Automatica Sinica
Volume9
Issue number10
DOIs
StatePublished - 1 Oct 2022

Keywords

  • Linear parameter varying (LPV) systems
  • model predictive control (MPC)
  • output feedback
  • robust control

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