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

et al.

International Journal of Robust and Nonlinear Control, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 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.

Language: 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, Journal Year: 2025, Volume and Issue: 498, P. 129394 - 129394

Published: March 5, 2025

Language: Английский

Citations

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

et al.

Chaos Solitons & Fractals, Journal Year: 2025, Volume and Issue: 196, P. 116275 - 116275

Published: March 29, 2025

Language: Английский

Citations

0

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

et al.

International Journal of Robust and Nonlinear Control, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 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.

Language: Английский

Citations

0