Stability and Synchronization Control of Stochastic Neural Networks (Studies in Systems, Decision and Control)

Wuneng Zhou, Ph. D., Professor, Doctoral Supervisor
1978. 2-1982. 1, B. S., HuaZhong Normal University, Wuhan, Hubei Province
2002. 3-2005. 3, Ph. D., Zhejiang University, Hangzhou, Zhejiang Province
1982. 2-1995. 1, Assistant, Lecturer, Associate Professor, Yunyang Teachers’ College, Danjiangkou, Hubei Province
1995. 2-2000. 7, Associate Professor, Professor, Jingzhou Normal University, Jingzhou, Hubei Province
2000. 8-2006. 4, Professor, Zhejing Normal University, Jinhua, Zhejiang Province
2006. 5-Present, Professor, Doctoral Supervisor, Donghua University, Shanghai
Some Honors:
2013, The science and technology progress award of petrochemical industry automation industry, the first prize, No. 4.
2011, The young and middle-aged discipline leaders of Zhejiang Province.
1999, Young and middle-aged expert with outstanding contributions of Hubei Province
Research Interests
Neural networks
Complex networks
Wireless sensor networksRobust control
Selected projects charged by Wuneng Zhou
[01] National “863” Key Program of China  (2008AA042902).
[02] National Natural Science Foundation of China (61075060).
[03] Innovation Program of Shanghai Municipal Education Commission (12zz064).

Selected publications
Wuneng Zhou, Qingyu Zhu, Peng Shi, Hongye Su, Jian’an Fang, and Liuwei Zhou, Adaptive synchronization for neutral-type neural networks with stochastic perturbation and Markovian switching parameters, IEEE Transactions on Cybernetics, 2014, Dec. 44 (12): 2848-2860.
Wuneng Zhou, Dongbing Tong, Yan Gao, Chuan Ji, Hongye Su. Mode and delay-dependent adaptive exponential synchronization in pth moment for stochastic delayed neural networks with Markovian switching. IEEE Transactions on Neural Networks and Learning Systems, 2012, 23 (4): 662-668.
Zhengguang Wu, Hongye Su, Jian Chu and Wuneng Zhou. Improved delay-dependent stability condition of discrete recurrent neural networks with time-varying delays. IEEE Transaction on Neural Networks, 2010, 21 (4): 692-697.