As a especial type of synchronous method, compound synchronization is designed by multiple drive systems and response systems. In this paper, a new type of compound synchronization of three drive systems and two response systems is investigated. According to synchronous control of five memristive cellular neural networks (CNNs), the theoretical analysis and demonstration are given out by using Lyapunov stability theory. The corresponding numerical simulations and synchronous performance analysis are supplied to verify the feasibility and scalability of compound synchronization design.
Compound Synchronization Based on Memristive Cellular Neural Network of Chaos System
Jiangxi University of Science and Technology,
Ganzhou 341000, China
Contributed by the Design Engineering Division of ASME for publication in the JOURNAL OF COMPUTATIONAL AND NONLINEAR DYNAMICS. Manuscript received July 15, 2015; final manuscript received August 14, 2016; published online December 5, 2016. Assoc. Editor: Bogdan I. Epureanu.
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Zhang, X., and Liao, L. (December 5, 2016). "Compound Synchronization Based on Memristive Cellular Neural Network of Chaos System." ASME. J. Comput. Nonlinear Dynam. May 2017; 12(3): 031002. https://doi.org/10.1115/1.4034565
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