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Synchronization of Coupled Switched Neural Networks with Time-Varying Delays

  • Research Article - Systems Engineering
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Abstract

In this paper, the exponential synchronization problem of delayed coupled switched neural networks with individual node and network topology switching is investigated. By using the matrix decomposing approach and the switched system comparison principle, several synchronization criteria for such complex dynamical networks are obtained. Firstly, under the assumption that all subnetworks are self-synchronized, a sufficient condition is derived in terms of an algebraic inequality. Then, when some subnetworks are not self-synchronized, based on the maximal dwell time length, the exponential synchronization criteria are given in terms of algebraic inequalities. Finally, examples are provided to illustrate the effectiveness of the theoretical results.

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Authors and Affiliations

  1. College of Information Science and Technology, Donghua University, Shanghai, 201620, People’s Republic of China

    Guang He, Jian-An Fang & Zhen Li

  2. The Department of Mathematics, Anhui Polytechnic University, Wuhu, 241000, Anhui, People’s Republic of China

    Guang He

  3. School of Information Engineering, Zhejiang Textile and Fashion College, Ningbo, 315211, Zhejiang, People’s Republic of China

    Xin Wang

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  1. Guang He
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  4. Xin Wang
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Correspondence to Guang He.

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He, G., Fang, JA., Li, Z. et al. Synchronization of Coupled Switched Neural Networks with Time-Varying Delays. Arab J Sci Eng 40, 3759–3773 (2015). https://doi.org/10.1007/s13369-015-1812-9

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  • DOI: https://doi.org/10.1007/s13369-015-1812-9

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