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.
Authors
- Ali Zolghadri (ORCID: https://orcid.org/0000-0002-9286-8012)
- Denis V. Efimov (ORCID: https://orcid.org/0000-0001-8847-5235)
- Christophe Combastel (ORCID: https://orcid.org/0000-0003-2805-605X)
- Junfeng Zhang (ORCID: https://orcid.org/0000-0003-1335-6682)
Institutions
- 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)
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
- National Natural Science Foundation of China
- Hainan University