Abstract
In this paper, stability of periodic solutions of the Cohen-Grossberg neural network with time delays and higher-order terms is investigated. Some sufficient conditions for global stability of periodic solutions are provided by employing Lyapunov-Krasovskii function and linear matrix inequality (LMI) approach. Simulation results show the feasibility and effectiveness of the proposed method.
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Acknowledgements
The authors thank the reviewers and the editor for their helpful comments and constructive suggestions, and the authors Cao J, Xilin Fu,Wu chen et al.
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Cui, J., Shao, H. (2014). LMI Approach for Stability of Cohen-Grossberg Neural Networks with Multi-delay and Distributed Delays. In: Wang, W. (eds) Mechatronics and Automatic Control Systems. Lecture Notes in Electrical Engineering, vol 237. Springer, Cham. https://doi.org/10.1007/978-3-319-01273-5_12
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DOI: https://doi.org/10.1007/978-3-319-01273-5_12
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