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Gain-Scheduled Static Output Feedback H Control for LPV Systems: A Dynamic Event-Triggered Approach

  • Tong Wu
  • , Guangbin Cai*
  • , Xuen Fan
  • , Guangren Duan
  • , Mingrui Hao
  • *Corresponding author for this work
  • Rocket Force University of Engineering
  • Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory

Research output: Contribution to journalArticlepeer-review

Abstract

This letter addresses the challenge of dynamic event-triggered gain-scheduled static output feedback (SOF) H control for linear parameter-varying (LPV) systems. The proposed SOF H optimization method constructs a new slack matrix to reduce the conservatism of the control design and can be extended to the event-triggered control framework. To address the complexity of control gain computation caused by the continuity of scheduling parameters, the LPV system is formulated in a polytopic form, and a gain-scheduled SOF controller is presented. A dynamic event-triggered control scheme is designed to further reduce the control update frequency compared to the static scheme by incorporating an internal dynamic variable, while the Zeno phenomenon is precluded via a proof by contradiction. The effectiveness of the proposed method is illustrated through a numerical example.

Original languageEnglish
Pages (from-to)2375-2380
Number of pages6
JournalIEEE Control Systems Letters
Volume9
DOIs
StatePublished - 2025

Keywords

  • H optimization
  • Static output feedback (SOF)
  • dynamic event-triggered control
  • linear parameter-varying (LPV) systems

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