LMI-based Delay-dependent Global Exponential Stability for Cellular Neural Networks with Time-varying Delay
نویسندگان
چکیده
Department of Electrical Engineering, National SunYat-Sen University, Kaohsiung, Taiwan 804, R.O.C. Email: [email protected] Department of Marine Engineering, National Kaohsiung Marine University, Kaohsiung, Taiwan 811, R.O.C. Email: [email protected] Abstract The global exponential stability for a class of delayed cellular neural networks (DCNN) with time-varying delay is considered. An LMI-based delay-dependent criterion is proposed to guarantee the stability of DCNN. Some numerical examples are illustrated to show the effectiveness of this paper. From the simulation results, significant improvement over the recent results can be observed.
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تاریخ انتشار 2007