Neural Processing Letters

, Volume 49, Issue 1, pp 285–303 | Cite as

Finite-Time Stability and Synchronization of the Coupled Switched Neural Networks with Nodes of Different Dimensions

  • Manchun TanEmail author
  • Xiaojun Li
  • Yunfeng Liu


In practical application, the state dimensions may be different in coupled neural networks. A class of coupled switched neural networks (CSNNs) with nodes of different dimensions is studied in this paper. A linear feedback controller is utilized to stabilize the CSNN, and a nonlinear controller is employed to synchronize the derive-response CSNNs under average dwell time switching signals. Sufficient conditions formulated in terms of linear matrix inequalities are derived for the finite-time stability and synchronization of CSNNs. Finally, numerical examples are given to show the effectiveness of theoretical results.


Coupled switched neural networks Average dwell time Finite-time stability Finite-time synchronization Nodes of different dimensions 



The research is supported by grants from the National Natural Science Foundation of China (Nos. 61572233 and 11471083), and the Science and Technology Program of Guangzhou, China (No. 201707010404).


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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.College of Information Science and TechnologyJinan UniversityGuangzhouChina

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