Almost sure cluster synchronization of Markovian switching complex networks with stochastic noise via decentralized adaptive pinning control |
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Authors: | Hailing Dong Danfeng Ye Jianwen Feng Jingyi Wang |
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Affiliation: | 1.College of Mathematics and Statistics,Shenzhen University,Shenzhen,People’s Republic of China;2.Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Optoelectronic Engineering,Shenzhen University,Shenzhen,People’s Republic of China |
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Abstract: | ![]() This paper investigates the issue of almost sure cluster synchronization in nonlinearly coupled complex networks with nonidentical nodes and time-varying delay. These networks are modulated by a continuous-time Markov chain and disturbed by a Brownian movement. The decentralized adaptive update law and pinning control protocol are employed in designing controllers for guaranteeing almost sure cluster synchronization. By constructing a novel stochastic Lyapunov–Krasovskii function and using the stochastic Lasalle-type invariance theorem, some sufficient conditions for almost sure cluster synchronization of the networks are derived. Finally, a numerical example is given to testify the effectiveness of the theoretical results. |
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