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Synchronization Stability in Complex Neural Networks

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Qualitative Analysis and Control of Complex Neural Networks with Delays

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 34))

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Abstract

In Chaps. 4–9, all the considered RNN models can be described as some state-vector differential equations, which can also be regarded as isolated systems or node systems. With the information communications and region interconnections being quickly developed, some isolated systems are coupled together closely, whether they are coupled passively or actively.

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Authors and Affiliations

  1. College of Information Science and Engineering, Northeastern University, Shenyang, China

    Zhanshan Wang & Zhenwei Liu

  2. Department of Mathematics, Dalian Jiaotong University, Dalian, China

    Chengde Zheng

Authors
  1. Zhanshan Wang
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  2. Zhenwei Liu
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  3. Chengde Zheng
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Correspondence to Zhanshan Wang .

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Wang, Z., Liu, Z., Zheng, C. (2016). Synchronization Stability in Complex Neural Networks. In: Qualitative Analysis and Control of Complex Neural Networks with Delays. Studies in Systems, Decision and Control, vol 34. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47484-6_10

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  • DOI: https://doi.org/10.1007/978-3-662-47484-6_10

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