Static output-feedback control for time-varying polytopic quadratic systems with applications to robotic manipulator

The static output-feedback control problem with time-varying polytopic quadratic systems subject to input saturation and disturbance is dealt with in this paper. By considering some parameter-dependent Lyapunov functions, sufficient conditions about static output-feedback control synthesis are obtained by parameter-dependent linear matrix inequalities. The synthesis conditions are further reduced to a special type of finite-dimensional parameter-independent linear matrix inequalities by means of affine combinations of matrices. Finally, two numerical examples are illustrated by the theoretical results.

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Published
2024-10-08
DOI
https://doi.org/10.1117/12.3045646
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
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article

Static output-feedback control for time-varying polytopic quadratic systems with applications to robotic manipulator

Saihui Fan, Sheng Shu, Pingfang Zhu, Jiacheng Zheng et al.
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Adaptive Control of Nonlinear Systems
article

Static output-feedback control for time-varying polytopic quadratic systems with applications to robotic manipulator

Saihui Fan, Sheng Shu, Pingfang Zhu, Jiacheng Zheng, Mingjun Chen, Bengang Yi, Ximei He
article en

Abstract

The static output-feedback control problem with time-varying polytopic quadratic systems subject to input saturation and disturbance is dealt with in this paper. By considering some parameter-dependent Lyapunov functions, sufficient conditions about static output-feedback control synthesis are obtained by parameter-dependent linear matrix inequalities. The synthesis conditions are further reduced to a special type of finite-dimensional parameter-independent linear matrix inequalities by means of affine combinations of matrices. Finally, two numerical examples are illustrated by the theoretical results.

China Automotive Technology and Research Center (CN)
Affordable and clean energy
Openalex Percentile: Top 80%
Adaptive Control of Nonlinear Systems
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