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Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)
Robust Stability of Uncertain Cellular Neural Networks with Time-Varying Delays
Haier International Training Center, Qingdao, China
July 30-August 01
ISBN: 0-7695-2909-7
Lianqing Su, Hebei University of Science and Technology, China
Zhifeng Gao, Hebei University of Science and Technology, China
Jiqing Qiu, Hebei University of Science and Technology, China
Peng Shi, University of Glamorgan, United Kingdom
In this paper, we investigate the problem of global robust asymptotical stability of cellular neural networks with time-varying delays and parameter uncertainties. The parameter uncertainties are assumed to be bounded, the activation functions are supposed to be bounded and globally Lipschitz continuous. Based on the Lyapunov-Krasovskii functional approach, a new delay-dependent stability criteria is presented in terms of linear matrix inequalities (LMIs). The stability criteria can be easily checked by using recently developed algorithms in solving LMIs. Finally, a numerical example is given to illustrate the effectiveness and less conservativeness of our proposed method.
Citation:
Lianqing Su, Zhifeng Gao, Jiqing Qiu, Peng Shi, "Robust Stability of Uncertain Cellular Neural Networks with Time-Varying Delays," snpd, vol. 3, pp.423-426, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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