学科、专业领域名称 
数学、控制科学与工程
 术 职 衔 
硕士生导师
导 师 姓 名 
郑成德
所获最高学位及单位 
 博士,大连理工大学
        
教授
工 作 部 门 
 扎金花规则棋牌心得理学院
 系 电 话 
155666913851
电 子 邮 箱
155666913851@163.com
研 究 方 向
神经网络稳定性
学习及工作经历 
1983.91987.6  吉林大学数学专业,获学士学位
1995.91998.3  大连理工大学计算数学专业,获硕士学位
2000.32004.3  大连理工大学计算数学专业,获博士学位
1987.7--         扎金花规则棋牌心得理学院    教授
进修及访学经历 
2006.102006.11  英国牛津大学访问
2008.92009.7    东北大学信息学院访问
承担科研项目情况 
主持国家自然科学基金项目:递归神经网络动力学行为若干问题研究
20131201612月,No.61273022,总经费60万)
申请专利情况 
近五年发表论文、著作情况 
1. Zheng Cheng-De, Shan Qi-He, Wang Zhanshan, Novel stability criterion for cellular neural networks: An improved Gu’s discretized LKF approach, Journal of the Franklin Institute, 2012,349(1)25-41. (SCI, EI收录)
2. Zheng Cheng-De, Zhou Fujie, Wang Zhanshan, Stochastic exponential synchronization of jumping chaotic neural networks with mixed delays,  Communications in Nonlinear Science and Numerical Simulation, 2012,17(3)1273 –1291. (SCI, EI收录) 
3. Zheng Cheng-De, Shan Qi-He, Wang Zhanshan, Novel stability criteria of Cohen-Grossberg neural networks with time-varying delays, International Journal of Circuit Theory and Applications, 2012,40(3)221-235. (SCI,EI收录)
4. Zheng Cheng-De, Shan Qi-He, Wang Zhanshan, Improved stability results for stochastic Cohen-Grossberg neural networks with discrete and distributed delays,  Neural Processing Letters, 2012,35(2)103-129. (SCI, EI收录)
5. Zheng Cheng-De, Li Jing-Wen, Wang Zhanshan, New stability criteria for neutral-type Cohen-Grossberg neural networks with discrete and distributed delays, International Journal of Computer Mathematics, 2012,89(4)443-466. (SCI收录)
6. Zheng Cheng-De, Gong Chao-Ke, Wang Zhanshan, Stability criteria for Cohen-Grossberg neural networks with mixed delays and inverse Lipschitz neuron activations, Journal of the Franklin Institute, 2012,349(9)2903-2924 (SCI, EI收录)
7. Zheng Cheng-De, Zhang Huaguang, Wang Zhanshan, New less conservative stability results for uncertain stochastic neural networks with fewer slack variables,
International Journal of Robust and Nonlinear Control, 2013, May 23(7)731-753 (SCI, EI收录)
8. Zheng Cheng-De, Gong Chao-Ke, Wang Zhanshan, New delay-dependent exponential stability for discrete-time recurrent neural networks with mixed time-delays, International Journal of Innovative Computing and Applications, 2013,5(2)65-75EI收录)
9. Zheng Cheng-De, Shan Qi-He, Zhang Huaguang, Wang Zhanshan, On stabilization of stochastic Cohen-Grossberg neural networks with mode-dependent mixed time-delays and Markovian switching, IEEE Transactions on Neural Networks and Learning Systems, 2013, May 24(5)800 -811(SCI, EI收录)
10. Zheng Cheng-De, Sun Ri-Ming, Wang Zhanshan, Exponential stability for impulsive Cohen-Grossberg neural networks with time-varying delays and distributed delays, International Journal of Intelligent Computing and Cybernetics, 2013,May 6(2)144-157 (EI收录)
11. Zheng Cheng-De, Lv Xixi, Wang Zhanshan, Adaptive synchronization for stochastic Markovian jump neural networks with mode-dependent delays, Lecture Notes in Computer Science, vol. 7952, LNCS, PART II, p 178-185, 2013, Advances in Neural Networks, ISNN 2013 - 10th International Symposium on Neural Networks, Proceedings.(EI收录)
12. Zheng Cheng-De, Wang Zhanshan, Novel passivity criteria for neural networks with discrete and unbounded distributed time-varying delays, International Journal of Computer Mathematics, 2013, Sept. 90(9)1782-1795(SCI, EI收录)
13. Zheng Cheng-De, Gong Chao-Ke, Wang Zhanshan, New passivity conditions with fewer slack variables for uncertain neural networks with mixed delays,
Neurocomputing, 2013, Oct.118(1)237-244(SCI, EI收录)
14. Zheng Cheng-De, Qu Kun, Wang Zhanshan, Robust convergence of Cohen- Grossberg neural networks with mode-dependent  time-varying delays and Markovian jump, Journal of the Franklin Institute, 2013,350(8)2166-2182(SCI收录)
15. Wang Yan, Zheng Cheng-De, Feng Enmin, Stability analysis of mixed recurrent neural networks with time delay in the leakage  term under impulsive perturbations,
Neurocomputing, 2013, Nov.119(1)454-461(SCI, EI收录)
16. Zheng Cheng-De, Wang Yan, Wang Zhanshan, Stability analysis of stochastic fuzzy Markovian jumping neural networks with leakage delay under impulsive perturbations, Journal of the Franklin Institute, 2014, 351(3)1728-1755(SCI, EI收录)
17. Zheng Cheng-De, Wang Yan, Wang Zhanshan, Global stability of fuzzy cellular neural networks with mixed delays and leakage delay under impulsive perturbations,
Circuits, Systems, and Signal Processing, 2014,Apr.,33(4)1067-1094 (SCI, EI收录)
18. Zheng Cheng-De, Zhang Yue, Wang Zhanshan, Stability analysis of stochastic reaction-diffusion neural networks with Markovian switching and time delays in the leakage terms, International Journal of Machine Learning and Cybernetics, 2014,5(1)3-12(SCI, EI收录)
19. Zheng Cheng-De, Zhang Huaguang, Wang Zhanshan, Exponential synchronization of stochastic chaotic neural networks with mixed time delays and Markovian switching, Neural Computing & Applications, 2014,25(2)429-442(SCI, EI收录)
20. Zheng Cheng-De, Liang Wenlong, Wang Zhanshan, Anti-synchronization of Markovian jumping stochastic chaotic neural networks with mixed time delays,
Circuits, Systems, and Signal Processing, 2014,Sep.33(9)2761-2792 (SCI, EI收录)
21. Zheng Cheng-De, Wang Yan, Wang Zhanshan, New stability results of neutral-type neural networks with continuously distributed delays and impulses,
International Journal of Computer Mathematics, 2014, 91(9)1880-1896(SCI, EI收录)
22. Zheng Cheng-De, Lv Xixi, Liang Wenlong, Wang Zhanshan, Robust stochastic convergence and stability of neutral-type neural networks with Markovian jump and mixed delays, International Journal of Adaptive Control and Signal Processing, 2015,Jan.29(1) 158-179(SCI, EI收录)
23. Zheng Cheng-De, Zhang Xiaoyu, Wang Zhanshan, Mode-dependent stochastic stability criteria of fuzzy Markovian jumping neural networks with mixed delays,
ISA Transactions, 2015,May (56)8-17(SCI, EI收录)
24. Zheng Cheng-De, Gu Yun, Liang Wenlong, Wang Zhanshan, Novel delay- dependent stability criteria for switched Hopfield neural networks of neutral type,
Neurocomputing, 2015, Jun. 158(1)117-126(SCI, EI收录)
25. Zheng Cheng-De, Wei Ziping, Wang Zhanshan, Robustly adaptive synchronization for stochastic Markovian neural networks of neutral type with mixed mode-dependent delays, Neurocomputing, 2016,Jan.171()1254-1264 (SCI, EI收录)
26. Zheng Cheng-De, Zhang Xiaoyu, Wang Zhanshan, Mode and delay-dependent stochastic stability conditions of fuzzy neural networks with Markovian jump parameters, Neural Processing Letters, 2016,Jan.43(1)195-217(SCI, EI收录)
27. Zheng Cheng-De, Zhang Xiaoyu, Gu Yun, Wang Zhanshan, Novel delay- dependent stability criteria for fuzzy neural networks using delay- decomposition approach, Circuits, Systems, and Signal Processing, 2016,Feb.35(2)501-526 (SCI收录)
28. Zheng Cheng-De, Wang Zhanshan, Stochastic synchronization of neutral-type chaotic impulse neural networks with leakage delay and Markovian jumping parameters, International Journal of Intelligent Computing and Cybernetics, 2016,Sep. 9(3)237-254 (EI收录)  
29. Zheng Cheng-De, Zhang Yanli, Wang Zhanshan, Novel stability condition of stochastic Fuzzy neural networks with Markovian jumping under impulsive perturbations, International Journal of Machine Learning and Cybernetics, 2016,Oct.7(5)795-803 (SCI, EI收录)
30. Zheng Cheng-De, Xian Yongjin, On synchronization for chaotic memristor- based neural networks with time-varying delays, Neurocomputing, 2016, Dec.216:570-586 (SCI, EI收录) 
31. Zheng Cheng-De, Xian Yongjin, Wang Zhanshan, Third-order reciprocally convex approach to stability of fuzzy cellular neural networks under impulsive perturbations, Soft Computing, 2017,Feb.21(3)699-720 (SCI?, EI收录)
32. Zheng Cheng-De, Zhang Yue, Wang Zhanshan, Synchronization for memristive chaotic neural networks using Wirtinger-based multiple integral inequality, International Journal of Machine Learning and Cybernetics, DOI: 10.1007/s13042-016-0626-8(in press)
获奖及个人荣誉 
(1)2006年获辽宁省普通高等学校优秀青年骨干教师
(2)2013年获辽宁省优秀教学成果二等奖
(3)2014年获辽宁省第二批“十二五”普通高等教育本科省级规划教材
(4)2013年获辽宁省批“十二五”普通高等教育本科省级规划教材
社会兼职情况 
指导研究生情况 
已指导毕业研究生人数
硕士:10
正在指导研究生人数
硕士:5
所指导研究生获奖情况
龚朝克2014年获辽宁省优秀硕士学位论文提名论文,梁文龙2016年获校优秀硕士毕业研究生,龚朝克、梁文龙、张笑宇获研究生国家奖学金。
承担研究生课程名称
现代数学基础(博士)、最优化方法(硕士)
 
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