Stability Analysis on Discrete-Time Cohen-Grossberg Neural Networks with Bounded Distributed Delay
This paper investigates the asymptotical stability for discrete-time Cohen-Grossberg neural networks with both timevarying and distributed delays. By constructing a novel Lyapunov-Krasovskii functional and introducing some free-weighting matrices, one delay-dependent suf.cient condition is obtained by using convex combination. The criterion is presented in terms of LMIs and the feasibility can be easily checked with the help of LMI in Matlab Toolbox. In addition, the activation function can be described more generally, which generalizes those earlier methods. Finally, the effectiveness of obtained results can be further illustrated by one numerical example in comparison with the existent ones.
LI Tao WANG Ting FEI Shumin
School of Electronic Engineering and Automation, Henan Polytechnic University, Jiaozuo 454000, Henan Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education,
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-6
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）