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New Robust Stability Criteria for Uncertain Neural Networks with Time-Varying Delays
Beijing, China August 30-September 01
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.481First International Conference on Inn ...
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Jinhui Zhang, Hebei University of Science and Technology, China
Jiqing Qiu, Hebei University of Science and Technology, China
Peng Shi, University of Glamorgan, UK
The problem of robust stability for uncertain neural networks with time-varying delays is investigated in this paper. The system possesses norm-bounded uncertainties. The time-varying delay function in this paper maybe not continuously differentiable and its derivative may be not smaller than one. Based on Lyapunov-Krasovskii functional approach, some new delay-dependent stability criteria are presented, which are in terms of linear matrix inequalities (LMIs). Numerical example is given to illustrate the effectiveness and less conservative of the developed techniques.
Citation:
Jinhui Zhang, Jiqing Qiu, Peng Shi, "New Robust Stability Criteria for Uncertain Neural Networks with Time-Varying Delays," icicic, vol. 3, pp.648-651, First International Conference on Innovative Computing, Information and Control - Volume III (ICICIC'06), 2006
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