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This brief investigates globally exponential synchronization for linearly coupled neural networks (NNs) with time-varying delay and impulsive disturbances. Since the impulsive effects discussed in this brief are regarded as disturbances, the impulses should not happen too frequently. The concept of average impulsive interval is used to formalize this phenomenon. By referring to an impulsive delay...
The synchronization analysis and control for a novel heterogeneous complex network with time-varying distributed delays and coupling delays are investigated in this paper. By employing Lyapunov-Skrasovskii functions, the sufficient conditions for global synchronization of the heterogeneous complex networks are derived. Besides, the optimal problems of maximum thresholds of time-varying delays are...
The paper aims to present a new scheme of synchronization-based topology identification for a class of weighted general complex dynamical networks with time-varying coupling delays. By combining the adaptive control method and the Razumikhin-type theorem, a new feedback technique to identify the exact topology of the dynamical networks with time-varying coupling delay has been proposed. In comparison...
This paper presents a general impulsively-coupled complex dynamical network (ICCDN) model with parametric uncertainty and time-varying delays. Robust synchronization of the ICCDN with uncertainty and delays is investigated. Based on the Lyapunov stability theory, delay-independent synchronization conditions for the ICCDN with uncertainty and delays are obtained. A systematic-design procedure is presented,...
In this paper, an overview on pinning control of complex dynamical networks is reported. The research works on pinning control of complex dynamical networks are investigated thoroughly from seven aspects, including the dynamic behavior of the nodes, the structures of the networks, the control purpose, the control method, the methods of theoretical analysis, the implementation strategies and some other...
This paper focuses on the problem of synchronization stability analysis for complex dynamical networks with coupling delays, both continuous and discrete cases are considered. With the method of delay partitioning, less conservative criteria are derived in the form of linear matrix inequalities (LMIs). Numerical examples are provided to show the effectiveness of the proposed results.
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