曾志剛

擔任過二十多個國際學術會議的程序委員會委員，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。

自動控制原理。

神經網絡理論與應用；切換系統控制理論與應用；計算智能；動力系統穩定性；模式識別與聯想記憶。

（1）中國博士後科學基金：人工神經網絡的收斂性及其在模式識別中的應用（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劃” （NCET-06-0658）“基於神經網絡的模式識別和聯想記憶的理論研究”。

（4）國家自然科學基金：網絡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：“基於切換網絡簇多吸引子的動態灰度流記憶研究(111068)”

（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.

2022年1月，曾志剛主要完成的自主無人艇機集羣跨域協同關鍵技術及應用入選2021 年度廣東省科學技術獎技術發明獎擬獎項目，一等獎。 ^[1]