SMC for Discrete 2‐D Markov Switching Systems: Genetic Algorithm DOI
Shaowei Li, Wenhai Qi, Ju H. Park

и другие.

International Journal of Robust and Nonlinear Control, Год журнала: 2024, Номер unknown

Опубликована: Окт. 31, 2024

ABSTRACT The sliding mode control (SMC) strategy based on genetic algorithm is proposed for discrete two‐dimensional (2‐D) Markov switching systems with the Roesser model. By means of common 2‐D surface, SMC law designed underlying system. According to Lyapunov stability criteria, sufficient conditions are established asymptotic mean‐square and reachability region guaranteed. Utilizing an iteration optimizing algorithm, effective under constructed minimize by searching ideal gain. Finally, applicability verified through example.

Язык: Английский

Observer-based security control for nonlinear networked systems: The SCP model of semi-Markov kernel approach DOI
Ping Xia, Xiao‐Heng Chang

Applied Mathematics and Computation, Год журнала: 2025, Номер 498, С. 129394 - 129394

Опубликована: Март 5, 2025

Язык: Английский

Процитировано

0
Active disturbance reduction on non-homogeneous T-S fuzzy semi-Markovian jump systems and its application to secure digital signal communication DOI
S. Mohanapriya, P. Muthukumar,

E. A. Gopalakrishnan

и другие.

Chaos Solitons & Fractals, Год журнала: 2025, Номер 196, С. 116275 - 116275

Опубликована: Март 29, 2025

Язык: Английский

Процитировано

0
SMC for Discrete 2‐D Markov Switching Systems: Genetic Algorithm DOI
Shaowei Li, Wenhai Qi, Ju H. Park

и другие.

International Journal of Robust and Nonlinear Control, Год журнала: 2024, Номер unknown

Опубликована: Окт. 31, 2024

ABSTRACT The sliding mode control (SMC) strategy based on genetic algorithm is proposed for discrete two‐dimensional (2‐D) Markov switching systems with the Roesser model. By means of common 2‐D surface, SMC law designed underlying system. According to Lyapunov stability criteria, sufficient conditions are established asymptotic mean‐square and reachability region guaranteed. Utilizing an iteration optimizing algorithm, effective under constructed minimize by searching ideal gain. Finally, applicability verified through example.

Язык: Английский

Процитировано

0