Finite-time topology identification and stochastic synchronization of complex network with multiple time delays
作者： Hui Zhao , Lixiang Li , Haipeng Peng , Jinghua Xiao , Yixian Yang
DOI: 10.1016/J.NEUCOM.2016.09.014
关键词:
摘要: This paper investigates issues of finite-time topological identification and stochastic synchronization for two complex networks with multiple time delays. In the paper, we propose different approaches to identify structure guarantee in finite time, which are achieved based on stability theory properties Wiener process. Several useful criteria obtained simultaneously adaptive feedback control method. final section, numerical examples examined illustrate effectiveness analytical results.
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sci-hub.se 参考文章(50)
Abdujelil Abdurahman, Haijun Jiang, Zhidong Teng, Finite-time synchronization for memristor-based neural networks with time-varying delays Neural Networks. ,vol. 69, pp. 20- 28 ,(2015) , 10.1016/J.NEUNET.2015.04.015
Chaolong Zhang, Feiqi Deng, Yunjian Peng, Bo Zhang, Adaptive synchronization of Cohen-Grossberg neural network with mixed time-varying delays and stochastic perturbation Applied Mathematics and Computation. ,vol. 269, pp. 792- 801 ,(2015) , 10.1016/J.AMC.2015.07.074
Yuhua Xu, Wuneng Zhou, Jian’an Fang, Chengrong Xie, Dongbing Tong, Finite-time synchronization of the complex dynamical network with non-derivative and derivative coupling Neurocomputing. ,vol. 173, pp. 1356- 1361 ,(2016) , 10.1016/J.NEUCOM.2015.09.008
Ya-jing Ma, Bao-wei Wu, Yue-E Wang, Finite-time stability and finite-time boundedness of fractional order linear systems Neurocomputing. ,vol. 173, pp. 2076- 2082 ,(2016) , 10.1016/J.NEUCOM.2015.09.080
Weiping Wang, Lixiang Li, Haipeng Peng, Jinghua Xiao, Yixian Yang, None, Stochastic synchronization of complex network via a novel adaptive nonlinear controller Nonlinear Dynamics. ,vol. 76, pp. 591- 598 ,(2014) , 10.1007/S11071-013-1153-8
Xin Wang, Jian-an Fang, Huanyu Mao, Anding Dai, Finite-time global synchronization for a class of Markovian jump complex networks with partially unknown transition rates under feedback control Nonlinear Dynamics. ,vol. 79, pp. 47- 61 ,(2015) , 10.1007/S11071-014-1644-2
Xing Xing, Deyin Yao, Qing Lu, Xinchen Li, Finite-time stability of Markovian jump neural networks with partly unknown transition probabilities Neurocomputing. ,vol. 159, pp. 282- 287 ,(2015) , 10.1016/J.NEUCOM.2015.01.033
Dong Li, Jinde Cao, Finite-time synchronization of coupled networks with one single time-varying delay coupling Neurocomputing. ,vol. 166, pp. 265- 270 ,(2015) , 10.1016/J.NEUCOM.2015.04.013
Jun Mei, Minghui Jiang, Bin Wang, Bing Long, Finite-time parameter identification and adaptive synchronization between two chaotic neural networks Journal of The Franklin Institute-engineering and Applied Mathematics. ,vol. 350, pp. 1617- 1633 ,(2013) , 10.1016/J.JFRANKLIN.2013.04.005
V. Vembarasan, P. Balasubramaniam, Chaotic synchronization of Rikitake system based on T-S fuzzy control techniques Nonlinear Dynamics. ,vol. 74, pp. 31- 44 ,(2013) , 10.1007/S11071-013-0946-0