Synchronization Analysis for Stochastic T-S Fuzzy Complex Networks with Markovian Jumping Parameters and Mixed Time-Varying Delays via Impulsive Control. (28th July 2020)

• Record Type: Journal Article
• Authors: Syed Ali, M.; Usha, M.; Zhu, Quanxin; Shanmugam, Saravanan
• Other Names: Rubio Jose de Jesus Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2020(2020)
• Publication Date: 2020-07-28
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2020/9739876
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : In this paper, we propose and explore the synchronization examination for fuzzy stochastic complex networks' Markovian jumping parameters portrayed by Takagi-Sugeno (T-S) fuzzy model with mixed time-varying coupling delays via impulsive control. The hybrid coupling includes time-varying discrete and distributed delays. Based on appropriate Lyapunov–Krasovskii functional (LKF) approach, Newton–Leibniz formula, and Jensen's inequality, the stochastic examination systems and Kronecker product to create delay-dependent synchronization criteria that guarantee stochastically synchronous of the proposed T-S fuzzy stochastic complex networks with mixed time-varying delays. Adequate conditions for the synchronization criteria for the frameworks are established in terms of linear matrix inequalities (LMIs). At long last, numerical examples and simulations are given to demonstrate the correctness of the hypothetical outcomes.