Finite-time synchronization control for semi-Markov jump neural networks with mode-dependent stochastic parametric uncertainties

• Published in: Applied mathematics and computation Vol. 344-345; pp. 230 - 242
• Main Authors: Zhang, Dian, Cheng, Jun, Cao, Jinde, Zhang, Dan
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.03.2019
• Subjects: Finite-time synchronization; Markov jump neural network; Parametric uncertainty; Semi-Markov chain; Unreliable communication link; Markov jump neural network; Finite-time synchronization; Parametric uncertainty; Semi-Markov chain; Unreliable communication link
• ISSN: 0096-3003; 1873-5649
• DOI: 10.1016/j.amc.2018.09.013

This paper addresses the problem of synchronization control for semi-Markov jump neural networks with mode-dependent stochastic parametric uncertainties covering a finite-time period. A more general semi-Markov jump neural network is developed by the mode-dependent stochastic parametric uncertainties technique, where both upper and lower bounds of parametric uncertainties are taken into consideration in determining the imprecise measurements. The time-varying semi-Markov chain information subject to uncertainty is established, and sufficient conditions are achieved combine with some integral method. Finally, two numerical examples are exhibited to verify the effectiveness of the produced scheme.