Positive stabilization and synchronization of Persidskii systems with hidden semi‐Markov process

Abstract This paper investigates the positive stochastic stabilization of the Persidskii systems with hidden semi‐Markov processes under partially known emission probabilities and the positive synchronization of a family of Persidskii systems. First, a hidden stochastic copositive Lyapunov function is introduced for the positive stochastic stabilization of systems. Accordingly, a criterion on positive stochastic stability is proposed for Persidskii systems with a hidden semi‐Markov process. Then, an observed mode‐dependent combining controller consisting of linear and nonlinear parts is designed in terms of matrix decomposition technique. Linear programming is employed to describe the presented conditions and compute the corresponding controller parameters. Finally, one example is provided to verify the effectiveness of the obtained results.

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Publication Details

Journal
Asian Journal of Control
Published
2025-11-24
DOI
https://doi.org/10.1002/asjc.70015
Primary Topic
Neural Networks Stability and Synchronization
Type
article
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article

Positive stabilization and synchronization of Persidskii systems with hidden semi‐Markov process

Xuan Jia, Huizhou Liu, Wei Xing, Junfeng Zhang
Asian Journal of Control
Neural Networks Stability and Synchronization
article

Positive stabilization and synchronization of Persidskii systems with hidden semi‐Markov process

Xuan Jia, Huizhou Liu, Wei Xing, Junfeng Zhang
article en

Abstract

Abstract This paper investigates the positive stochastic stabilization of the Persidskii systems with hidden semi‐Markov processes under partially known emission probabilities and the positive synchronization of a family of Persidskii systems. First, a hidden stochastic copositive Lyapunov function is introduced for the positive stochastic stabilization of systems. Accordingly, a criterion on positive stochastic stability is proposed for Persidskii systems with a hidden semi‐Markov process. Then, an observed mode‐dependent combining controller consisting of linear and nonlinear parts is designed in terms of matrix decomposition technique. Linear programming is employed to describe the presented conditions and compute the corresponding controller parameters. Finally, one example is provided to verify the effectiveness of the obtained results.

Asian Journal of Control
Ministry of Education of the People's Republic of China (CN), Hainan University (CN)
Openalex Percentile: Top 59%
Neural Networks Stability and Synchronization
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Positive stabilization and synchronization of Persidskii systems with hidden semi‐Markov process — Xuan Jia, Huizhou Liu, et al. · Asian Journal of Control (2025) | TGRS Research Map | TGRS