Static Output Feedback Control for Linear Systems via Multiple Lyapunov Functions

This paper is concerned with the problem of synthesizing static output feedback (SOF) controllers for linear systems via multiple Lyapunov functions (LFs). By appending a zero block to the matrix related to the control input and incorporating a real matrix into the control gain accordingly, the closed-loop system is extended, thereby introducing additional degrees of freedom into the proposed synthesis conditions. Based on the proposed multiple LFs, which are constituted by the summation of LFs dependent on system states at different instants, sufficient conditions in terms of linear matrix inequalities (LMIs) are derived to ensure the stability and desired performance of the closed-loop system. Compared with the existing methods, the proposed scheme achieves decoupling without requiring the correlation matrix to possess a specific structure, and yields superior results. Finally, the effectiveness and superiority of the proposed technique are validated through simulation example.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3597363
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
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article

Static Output Feedback Control for Linear Systems via Multiple Lyapunov Functions

Zhe Li, Guokai Liang, Yanzhang Gu, Wei Pan et al.
IEEE Access
Adaptive Control of Nonlinear Systems
article

Static Output Feedback Control for Linear Systems via Multiple Lyapunov Functions

Zhe Li, Guokai Liang, Yanzhang Gu, Wei Pan, Xin Xie, Zeming Chen, W. Zeng
article en

Abstract

This paper is concerned with the problem of synthesizing static output feedback (SOF) controllers for linear systems via multiple Lyapunov functions (LFs). By appending a zero block to the matrix related to the control input and incorporating a real matrix into the control gain accordingly, the closed-loop system is extended, thereby introducing additional degrees of freedom into the proposed synthesis conditions. Based on the proposed multiple LFs, which are constituted by the summation of LFs dependent on system states at different instants, sufficient conditions in terms of linear matrix inequalities (LMIs) are derived to ensure the stability and desired performance of the closed-loop system. Compared with the existing methods, the proposed scheme achieves decoupling without requiring the correlation matrix to possess a specific structure, and yields superior results. Finally, the effectiveness and superiority of the proposed technique are validated through simulation example.

IEEE AccessVol. 13
Shanghai University (CN), Hunan University (CN), China Southern Power Grid (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 75%
Adaptive Control of Nonlinear Systems
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Static Output Feedback Control for Linear Systems via Multiple Lyapunov Functions — Zhe Li, Guokai Liang, et al. · IEEE Access (2025) | TGRS Research Map | TGRS