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Can I read A Delay-dependent Asymptotic Stability Criterion of Cellular Neural Networks with Time-varying Discrete and Distributed Delays on EtoBox?
A Delay-dependent Asymptotic Stability Criterion of Cellular Neural Networks with Time-varying Discrete and Distributed Delays by Ju H. Park; Hyun J. Cho is a Physics and Astronomy article available to read on EtoBox.
What is A Delay-dependent Asymptotic Stability Criterion of Cellular Neural Networks with Time-varying Discrete and Distributed Delays about?
Based on the Lyapunov functional stability analysis for differential equations and the linear matrix inequality (LMI) optimization approach, A novel criterion for the global asymptotic stability of cellular neural networks with time-varying discrete and distributed delays is derived to guarantee global asymptotic stability. The criterion is expressed in terms of LMIs, which can be solved easily by various convex optimization algorithms. Some numerical examples are given to show the effectiveness of proposed method.
Who reads A Delay-dependent Asymptotic Stability Criterion of Cellular Neural Networks with Time-varying Discrete and Distributed Delays?
It is typically read by researchers, students, and practitioners in Physics and Astronomy.
- Author
- Ju H. Park; Hyun J. Cho
- Publisher
- Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0960-0779)
- Published
- 2007
- Language
- EN
- Field
- Physics and Astronomy (Physical Sciences)