Gain-Scheduled Static Output Feedback <i>H</i> <sub>∞</sub> Control for LPV Systems: A Dynamic Event-Triggered Approach

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.

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Publication Details

Journal
IEEE Control Systems Letters
Published
2025-01-01
DOI
https://doi.org/10.1109/lcsys.2025.3619588
Primary Topic
Real-time simulation and control systems
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Xiaowen Fan, Mingrui Hao, Tong Wu, Guang‐Ren Duan et al.
IEEE Control Systems Letters
Real-time simulation and control systems
article

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

Xiaowen Fan, Mingrui Hao, Tong Wu, Guang‐Ren Duan, Guangbin Cai
article en

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.

IEEE Control Systems LettersVol. 9
Harbin Institute of Technology (CN), PLA Rocket Force University of Engineering (CN)
Openalex Percentile: Top 65%
Real-time simulation and control systems
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