Project supported by the National Natural Science Foundations of China (Grant Nos. 70571030 and 90610031);the Society Science Foundation from Ministry of Education of China (Grant No. 08JA790057);the Advanced Talents’ Foundation and Student’s Foundation of Jiangsu University (Grant Nos. 07JDG054 and 07A075)
In this study, a successful linear matrix inequality approach is used to analyse a non-parameter perturbation of multi-delay Hopfield neural network by constructing an appropriate Lyapunov-Krasovskii functional. This ...
Project supported by the National Natural Science Foundation of China (Grant Nos.70571030 and 90610031);the Social Science Foundation from Ministry of Education of China (Grant No.08JA790057);the Advanced Talents' Foundation and Student's Foundation of Jiangsu University (Grant Nos.07JDG054 and 07A075)
This paper introduces an adaptive procedure for the problem of synchronization and parameter identification for chaotic networks with time-varying delay by combining adaptive control and linear feedback. In particular...