曾志剛[華中科技大學教師]

曾志剛,男,1971年6月生,教授。03年6月在華中科技大學獲系統分析與集成博士學位。8月進入"中國科學技術大學自動化系控制科學與工程博士後流動站"。04年9月至12月在香港中文大學自動化與計算機輔助設計工程學系進行合作研究。05年6月至12月和06年3月至9月在香港中文大學自動化與計算機輔助設計工程學系做第二站博士後。06年12月入選教育部06年度"新世紀優秀人才支持計畫" 07年9月獲得"國家自然科學基金"。08年4月獲得霍英東第十一屆青年教師基金資助08年9月至今在華中科技大學控制科學與工程系從事教學和科研工作。

2015年4月,曾志剛入選2015年度“長江學者獎勵計畫”特聘教授名單。

基本信息

人物經歷

擔任過二十多個國際學術會議的程式委員會委員,出版主席等。為包括IEEE Transactions on Neural Networks;IEEE Transactions on Circuits and Systems I;IEEE Transactions on Circuits and Systems –II;IEEE Transactions on Systems Man and Cybernetics - Part B;IEEE Transactions on Automatic Control;Automatica在內的二十四個國際學術刊物審稿。希望招收的研究生具有自動化、數學、計算機等相關專業背景。

主講課程

自動控制原理。

研究方向

神經網路理論與套用;切換系統控制理論與套用;計算智慧型;動力系統穩定性;模式識別與聯想記憶。

主要貢獻

主持基金項目

(1)中國博士後科學基金:人工神經網路的收斂性及其在模式識別中的套用(2004035579)。

(2)國家自然科學基金:一種新的基於RNN簇吸引子的模式流識別方法研究(60405002)。

(3)教育部 “新世紀優秀人才支持計畫” (NCET-06-0658)“基於神經網路的模式識別和聯想記憶的理論研究”。

(4)國家自然科學基金:網路簇多吸引子協調切換及多目標流異聯想研究(60774051)資助。

(5)霍英東第十一屆青年教師基金:“基於切換網路簇多吸引子的動態灰度流記憶研究(111068)”

部分發表論文

(1) Zhigang Zeng, Jun Wang, “Design and analysis of high-capacity associative memories based on a class of discrete-time recurrent neural networks,”IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, Vol. 38, No. 6, pp. 1525-1536, 2008.

(2) Zhigang Zeng, Pei Yu and Xiaoxin Liao, “A new comparison method for stability theory of differential systems with time-varying delays,” International Journal of Bifurcations and Chaos, Vol.18, No. 1, pp. 169-186, 2008.

(3) Zhigang Zeng, De-Shuang Huang and Zengfu Wang, “Pattern memory analysis base on stability theory of cellular neural networks,” Applied Mathematical Modelling, Vol.32, No.1, pp.112-121, 2008.

(4) Zhigang Zeng, Jun Wang, “Analysis and design of associative memories based on recurrent neural networks with linear saturation activation functions and time-varying delays,” Neural Computation, Vol. 19, No. 8, pp. 2149-2182, 2007.

(5) Zhigang Zeng, Jun Wang, “Global exponential stability of recurrent neural networks with time- varying delays in the presence of strong external stimuli,” Neural Networks, Vol. 19, No. 10, pp. 1528-1537, 2006.

(6) Zhigang Zeng, Jun Wang, “Multiperiodicity of discrete-time delayed neural networks evoked by periodic external inputs,” IEEE Transactions on Neural Networks, (Regular Papers), Vol. 17, No.5, pp. 1141-1151,2006.

(7) Zhigang Zeng, Jun Wang, “Improved conditions for global exponential stability of recurrent neural networks with time-varying delays,” IEEE Transactions on Neural Networks, (Regular Papers), Vol. 17, No.3, pp. 623-635,2006.

(8) Zhigang Zeng, Jun Wang, “Complete stability of cellular neural networks with time-varying delays,” IEEE Transactions on Circuits and Systems-I: Regular Papers, Vol. 53, No. 4, pp. 944-955,2006.

(9) Zhigang Zeng, Jun Wang, “Multiperiodicity and exponential attractivity evoked by periodic external inputs in delayed cellular neural networks,” Neural Computation, Vol. 18, No.4, pp.848-870, 2006.

(10) Zhigang Zeng, De-Shuang Huang and Zengfu Wang, “Global stability of a general class of discrete-time recurrent neural networks,” Neural Processing Letters, Vol.22, No.1, pp.33-47, 2005.

(11) Zhigang Zeng, Jun Wang and Xiaoxin Liao, “Global asymptotic stability and global exponential stability of neural networks with unbounded time-varying delays,” IEEE Transactions on Circuits and Systems II, Express Briefs, Vol.52, No.3, pp.168-173, 2005.

(12) Zhigang Zeng, De-Shuang Huang and Zengfu Wang, “Memory pattern analysis of cellular neural network,” Physics Letters A, Vol.342, No.1-2, pp.114–128, 2005.

(13) Zhigang Zeng, Jun Wang and Xiaoxin Liao, “Stability analysis of delayed cellular neural networks described using cloning templates,” IEEE Transactions on Circuits and Systems-I: Regular Papers. Vol.51, No.11, pp.2313-2324, 2004.

(14) Zhigang Zeng, De-Shuang Huang and Zengfu Wang, “Attractability and location of equilibrium point of cellular neural networks with time-varying delays,” International Journal of Neural Systems, Vol. 14, No. 5, pp.337-345, 2004.

(15) Zhigang Zeng, Jun Wang and Xiaoxin Liao, “Global exponential stability of neural networks with time-varying delays,” IEEE Transactions on Circuits and Systems-I: Fundamental Theory and Applications, Vol.50, No.10, pp.1353-1358, 2003.

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