LMI conditions for exponential stability of neural networks with time-varying delays
conference contribution
posted on 2024-07-11, 13:24 authored by Haifeng Yang, Tianguang Chu, Cishen ZhangThis paper presents sufficient conditions for global asymptotic/exponential stability of neural networks with timevarying delays. By using appropriate Lyapunov-Krasovskii functional, we derive stability conditions in terms of linear matrix inequalities (LMIs). This is convenient for numerically checking the system stability using the powerful MATLAB LMI Toolbox. Compared with some earlier work, our result does not require any restriction on the derivative of the delay function. Numerical example shows the efficiency and less conservatism of the present result.
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780391381Journal title
Proceedings of the 5th International Conference on Control and Automation, ICCA'05Conference name
The 5th International Conference on Control and Automation, ICCA'05Pagination
4 ppPublisher
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