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Delay-dependent synchronization of T-S fuzzy Markovian jump complex dynamical networks. (English) Zbl 1467.93013

Summary: In this paper, a delay-dependent synchronization criteria for Markovian jump complex dynamical networks subject to time-varying coupling delays and external disturbances are proposed via Takagi-Sugeno (T-S) fuzzy approach. The class of Markovian jump complex dynamical networks is described by a fuzzy model composed of two levels such as a crisp level which represents the jumps and a fuzzy level which describes the system nonlinearities. An asymptotic synchronization criterion is obtained by employing fuzzy controller with the mixed \(H_\infty\) and passivity performance index \(\nu > 0\). Further, by constructing a novel Lyapunov-Krasovskii functional along with the extended integral inequality and using the properties of Kronecker product and convex combination approach, a set of sufficient constraints is derived in the form of linear matrix inequalities and checked for its feasibility using MATLAB software. At last, numerical simulations including the Lorentz system are given to demonstrate the applicability and effectiveness of the developed results.

MSC:

93A14 Decentralized systems
93C42 Fuzzy control/observation systems
93E03 Stochastic systems in control theory (general)
93D50 Consensus
60J27 Continuous-time Markov processes on discrete state spaces

Software:

Matlab
Full Text: DOI

References:

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