Static Output Feedback Control for T-S Fuzzy Systems Using a Line-integral Fuzzy Lyapunov Function: An Iterative LMI Approach

This paper presents a design method for a static output feedback controller that asymptotically stabilizes continuous-time Takagi-Sugeno fuzzy systems using a line-integral fuzzy Lyapunov function. The conditions for the existence of such a static output feedback controller are formulated as bilinear matrix inequalities (BMIs), which demonstrates that the proposed conditions are more relaxed than existing ones. Additionally, we introduce an iterative algorithm to find solutions to the proposed BMI conditions.

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Publication Details

Journal
Journal of Institute of Control Robotics and Systems
Published
2024-11-19
DOI
https://doi.org/10.5302/j.icros.2024.24.0207
Primary Topic
Fuzzy Logic and Control Systems
Type
article
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article

Static Output Feedback Control for T-S Fuzzy Systems Using a Line-integral Fuzzy Lyapunov Function: An Iterative LMI Approach

Eun-Tae Jeung
Journal of Institute of Control Robotics and Systems
Fuzzy Logic and Control Systems
article

Static Output Feedback Control for T-S Fuzzy Systems Using a Line-integral Fuzzy Lyapunov Function: An Iterative LMI Approach

Eun-Tae Jeung
article en

Abstract

This paper presents a design method for a static output feedback controller that asymptotically stabilizes continuous-time Takagi-Sugeno fuzzy systems using a line-integral fuzzy Lyapunov function. The conditions for the existence of such a static output feedback controller are formulated as bilinear matrix inequalities (BMIs), which demonstrates that the proposed conditions are more relaxed than existing ones. Additionally, we introduce an iterative algorithm to find solutions to the proposed BMI conditions.

Journal of Institute of Control Robotics and SystemsVol. 30(11)
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Fuzzy Logic and Control Systems
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Static Output Feedback Control for T-S Fuzzy Systems Using a Line-integral Fuzzy Lyapunov Function: An Iterative LMI Approach — Eun-Tae Jeung · Journal of Institute of Control Robotics and Systems (2024) | TGRS Research Map | TGRS