Robust Stability and Stabilization of Continuous-Time Parameter-Varying Persidskii Systems

This paper investigates analysis and design problems for a class of parameter-varying generalized Persidskii systems. A model within this class is simultaneously linear in time-varying parameters as in LPV framework, and contains sector nonlinearities of the state, as in Persidskii systems. The conditions for ( integral) input-to-state stability and input-output-to-state stability are established. These results are developed using both, parameter-dependent and independent, Lyapunov functions. To formulate these conditions, parameterized matrix inequalities are used, which are reduced to linear ones under additional assumptions concerning the model's dependence on the time-varying parameters. Finally, a new robust nonlinear control design method is also developed. The efficacy of these results is illustrated through a numerical academic example and a more complex model describing the nonlinear dynamics of aircraft longitudinal motion.

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Publication Details

Journal
IEEE Transactions on Automatic Control
Published
2025-05-07
DOI
https://doi.org/10.1109/tac.2025.3567675
Citations
2
Primary Topic
Advanced Research in Science and Engineering
Type
article
Field-Weighted Citation Impact
2.74

Funders

Controls
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article

Robust Stability and Stabilization of Continuous-Time Parameter-Varying Persidskii Systems

Ali Zolghadri, Denis V. Efimov, Christophe Combastel, Junfeng Zhang
2 citations
IEEE Transactions on Automatic Control
Advanced Research in Science and Engineering
2.74
article

Robust Stability and Stabilization of Continuous-Time Parameter-Varying Persidskii Systems

Ali Zolghadri, Denis V. Efimov, Christophe Combastel, Junfeng Zhang
article en
2 citations

Abstract

This paper investigates analysis and design problems for a class of parameter-varying generalized Persidskii systems. A model within this class is simultaneously linear in time-varying parameters as in LPV framework, and contains sector nonlinearities of the state, as in Persidskii systems. The conditions for ( integral) input-to-state stability and input-output-to-state stability are established. These results are developed using both, parameter-dependent and independent, Lyapunov functions. To formulate these conditions, parameterized matrix inequalities are used, which are reduced to linear ones under additional assumptions concerning the model's dependence on the time-varying parameters. Finally, a new robust nonlinear control design method is also developed. The efficacy of these results is illustrated through a numerical academic example and a more complex model describing the nonlinear dynamics of aircraft longitudinal motion.

IEEE Transactions on Automatic ControlVol. 70(11)
Centre National de la Recherche Scientifique (FR), Université de Bordeaux (FR), Hainan University (CN), Université de Lille (FR), Laboratoire de l'Intégration du Matériau au Système (FR), Institut Polytechnique de Bordeaux (FR)
National Natural Science Foundation of China, Hainan University
Affordable and clean energy
Openalex Percentile: Top 11%
Advanced Research in Science and Engineering
2.74
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Robust Stability and Stabilization of Continuous-Time Parameter-Varying Persidskii Systems — Ali Zolghadri, Denis V. Efimov, et al. · IEEE Transactions on Automatic Control (2025) | TGRS Research Map | TGRS