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
DOI Bookmark:
http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.326
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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