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导师简介

蹇继贵教授

作者:    时间:2016-03-04    浏览:


一、简介

蹇继贵(1965-,男,四川苍溪人,博士,教授(二级),博士生导师.主要从事动力系统的稳定性理论、神经网络的数学理论、混沌同步及非线性控制等方面的研究.目前已在国内外重要学术期刊《IEEE Trans.Neural Netw.Learn.Syst.》、《IEEETrans.Fuzzy Syst.》、《Nonlinear Anal.》、《Fuzzy Sets Syst.》、《Neurocomputing》、《Physica A》、《Math.Comput.Simul.》、《Neural Netw.》、《Nonlinear Dyn.》、《数学杂志》等及重要国际会议上发表学术论文100余篇,其中已被SCI和EI收录90余篇.获湖北省自然科学三等奖2项、三峡大学科学技术二等奖1项、三峡大学自然科学叁等奖2项.主持完成国家自然科学基金面上项目1项、湖北省高校创新团队项目1项、省教育厅重点项目1项,参与完成国家自然科学基金项目2项、湖北省自然科学基金2项、湖北省教育厅重点项目4项. 已指导硕士研究生在SCI及EI源刊上发表学术论文40余篇,获湖北省优秀硕士论文4篇,2人获国家研究生奖学金.申请人多次应邀为国际学术期刊《Int.J.Control》、《Neurocomputing》、《Nonlinear Dyn.》、《Neural Netw.》、《Appl.Math.Comput.》、《IEEE Trans.Neural Netw.Learn.Syst.》、《IEEE Trans.Syst.Man Cybern.》、《Neural Comput.Appl.》、《Circuits Syst.Signal Process.》、《Int.J.Mach.Learn.Cyber.》、《IEEE Trans.Cybern.》等审理稿件.

电子邮箱:jiguijian@ctgu.edu.cn;办公电话:0717-6392618

受教育经历

2002/09-2005/06,华中科技大学,控制科学与工程系,获博士学位

1991/09-1994/03,华中师范大学,数学系,获硕士学位

1983/09-1987/06,原西南师范大学,数学系,获学士学位

二、主讲课程

本科生课程:《常微分方程》、《复变函数》、《高等数学》、《复变函数与积分变换》、

《数学物理方程》、《数理方程与特殊函数》

研究生课程:《线性系统理论》、《稳定性理论》

三、科研

(一) 科研项目

1.主持项目

(1) 国家自然科学基金面上项目: 基于部分状态的非线性系统多重稳定性及应用研究(61174216),50万元,2012.01-2015.12.

(2) 湖北省高校优秀中青年科技创新团队:复杂动力系统的行为特性分析与应用研究(T200809),15万元,2008.01-2011.12.

(3)湖北省教育厅科研项目,动力系统的部分稳定性与部分同步理论及应用研究(D200613002),2万元,2006.01-2007.12.

2.参与项目

(1)国家自然科学基金:多智能体不确定性系统的自适应一致性问题研究(61273183),81万,2013.01-2016.12.

(2)国家自然科学基金:连续非光滑非线性系统有限时间稳定及应用(61074091),35万元, 2011.01-2013.12.

(3)湖北省科学技术厅:基于忆阻的智能控制及在信息存储与获取中的应用(2013CFA050),20万元,2013.01-2015.12.

(4)湖北省教育厅:多智能体复杂动态网络的鲁棒同步与控制(D20101201),2.8万元,2010.01-2012.12.

(5)湖北省教育厅:非线性系统有限时间观测器的设计及其应用(D20091305),3万元,2009.01-2010.12.

(6)湖北省科学技术厅:多智能体复杂动态网络的同步与分散控制(2008CDB316),6万元,2009.01-2010.12.

(7)湖北省教育厅:多智能体复杂动态网络协调控制研究(D20081306),2万元, 2008.01-2008.12.

(8)湖北省教育厅:偏微分方程理论研究及在生物学中的应用(Q200713001),2万元, 2007.1-2008.12.

(二)部分论文(第一作者为硕士生)

[1]Jigui Jian*, Kai Wu,Baoxian Wang,Global Mittag-Leffler boundedness offractional-order fuzzy quaternion-valued neuralnetworks with linear threshold neurons,IEEETransactions on Fuzzy Systems,DOI 10.1109/TFUZZ.2020.3014659.(SCI, EI)

[2]Kai Wu,Jigui Jian*,Globalrobustexponentialdissipativity ofuncertainsecond-order BAMneuralnetworkswithmixedtime-varyingdelays,IEEE Transactions on Neural Networks and Learning Systems, DOI10.1109/TNNLS.2020.3027326.(SCI, EI)

[3]Kai Wu,Jigui Jian*, Non-reduced order strategies for global dissipativity of memristive neutral-type inertial neural networks with mixed time-varying delays,Neurocomputing436 (2021) 174-183.(SCI, EI)

[4]Mengying Yan,Jigui Jian*, Sheng Zheng, Passivity analysis for uncertain BAM inertial neural networks with time varying delays,Neurocomputing435 (2021) 114-125. (SCI, EI)

[5]JiguiJian*, LiyanDuan,Finite-time synchronization for fuzzy neutral-type inertial neural networks with time-varying coefficients and proportional delays,Fuzzy SetsandSystems381(2020)51-67.(SCI, EI)

[6]Liyan Duan,Jigui Jian*, Baoxian Wang,Global exponential dissipativity of neutral-type BAM inertial neural networks with mixed time-varying delays,Neurocomputing378 (2020) 399-412.(SCI, EI)

[7]Liyan Duan,Jigui Jian*,Global Lagrangestability ofinertialneutraltypeneuralnetworks withmixedtime-varyingdelays,Neural Processing Letters51 (2020)1849-1867.(SCI, EI)

[8]Jigui Jian*, Kai Wua, Baoxian Wang,Global Mittag-Leffler boundedness and synchronization forfractional-order chaotic systems,Physica A540 (2020) 123166(1-13).(SCI, EI)

[9]Qian Tang,Jigui Jian*,Quasi-invariant and attractive sets of inertial neural networkswith time-varying and infinite distributed delays,Computational and Applied Mathematics39(2020)158(1-17).(SCI, EI)

[10]Jin Liu,Jigui Jian*, Baoxian Wang,Stability analysis for BAMquaternion-valued inertial neuralnetworks with time delay via nonlinear measure approach,Mathematics and Computers in Simulation174 (2020) 134-152.(SCI, EI)

[11]Peng Wan,Jigui Jian*,Impulsivestabilization andsynchronization offractional-ordercomplex-valuedneuralnetworks,Neural Processing Letters50(2019) 2201-2218.

[12]Peng Wan,Jigui Jian*, a-Exponentialstability ofimpulsivefractional-ordercomplex-valuedneuralnetworks withtimedelays,Neural Processing Letters50(2019) 1627-1648.(SCI, EI)

[13]Jin Liu,Jigui Jian*, Global dissipativity of a class of quaternion-valued BAM neural networks with time delay,Neurocomputing349(2019) 123-132.(SCI, EI)

[14]Qian Tang,Jigui Jian*, Exponential synchronization of inertial neural networks with mixedtime-varying delays via periodically intermittent control,Neurocomputing338 (2019) 181-190.(SCI, EI)

[15]Qian Tang,Jigui Jian*, Global exponential convergence for impulsive inertial complex-valued neural networks with time-varying delays,Mathematics and Computers in Simulation159 (2019) 39-56.(SCI, EI)

[16]Peng Wan,Jigui Jian*, Global Mittag-Leffler boundedness for fractional-order complex-valued Cohen-Grossberg neural networks,Neural Processing Letters49 (2019)121-139.(SCI, EI)

[17]Jigui Jian*, Peng Wan, Global exponential convergence of fuzzy complex-valued neural networks with time-varying delays and impulsive effects,Fuzzy Sets and Systems338(2018) 23-39. (SCI, EI)

[18]Peng Wan,Jigui Jian*, Jun Mei, Periodically intermittent control strategies fora-exponentialstabilization of fractional-order complex-valued delayed neural networks,Nonlinear Dynamics92 (2018)247-265.(SCI, EI)

[19]Qian Tang,Jigui Jian*, Matrix measure based exponential stabilization for complex-valued inertial neural networks with time-varying delays using impulsive control,Neurocomputing273 (2018) 251-259.(SCI, EI)

[20]Peng Wan,Jigui Jian*, Passivity analysis of memristor-based impulsive inertial neural networks with time-varying delays,ISA Transactions74(2018) 88-98. (SCI, EI)

[21]Jigui Jian*, Peng Wan,Lagrangea-exponential stability anda-exponential convergence for fractional-order complex-valued neural networks,Neural Networks91(2017)1-10. (SCI, EI)

[22]Peng Wan,Jigui Jian*, Global convergence analysis of impulsive inertial neural networks with time-varying delays,Neurocomputing245 (2017) 68-76.(SCI, EI)

[23]Jigui Jian, Wenlin Jiang, Lagrange exponential stability for fuzzy Cohen-Grossberg neural networks with time-varying delays,Fuzzy Sets and Systems277(2015)65-80.(SCI, EI)

[24]Liangliang Li,Jigui Jian*, Lagrange p-stability and exponential p-convergence for stochastic Cohen-Grossberg neural networks with time-varying delays, Neural Processing Letters 43(2016)611-626.(SCI, EI)

[25]Jigui Jian*, Baoxian Wang, Global Lagrange stability for neutral-type Cohen-Grossberg BAM neural networks with mixed time-varying delays,Mathematics and Computers in Simulation116 (2015)1-25.(SCI, EI)

[26]Jigui Jian*, Peng Wan, Global exponential convergence of generalized chaotic systems with multiple time-varying and finite distributed delays,Physica A431 (2015) 152-165.(SCI, EI)

[27]Jigui Jian*, Baoxian Wang, Stability analysis in Lagrange sense for a class of BAM neural networks of neutral type with multiple time-varying delays,Neurocomputing149(2015)930-939.(SCI, EI)

[28]Jigui Jian*, Zhihua Zhao, Global stability in Lagrange sense for BAM-type Cohen-Grossberg neural networks with time-varying delays,Systems Science & Control Engineering3(2015)1-7.(EI)

[29]Jigui Jian*, Zhihua Zhao. New estimations for ultimate boundary and synchronization control for a disk dynamo system,Nonlinear Analysis: Hybrid Systems9(2013)56-66.(SCI, EI)

[30]Zhihua Zhao,Jigui Jian*, Baoxian Wang, Global attracting sets for neutral-type BAM neural networks with time-varying and infinite distributed delays,Nonlinear Analysis: Hybrid Systems15 (2015) 63-73.(SCI, EI)

[31]Liangliang Li,Jigui Jian*, Delay-dependent passivity analysis of impulsive neural networks with time-varying delays,Neurocomputing168(2015)276-282. (SCI, EI)

[32]Liangliang Li,Jigui Jian*, Finite-time synchronization of chaotic complex networks with stochastic disturbance,Entropy17(2015)39-51.(SCI)

[33]LiangliangLi,JiguiJian*, Exponential p-convergence analysis for stochastic BAM neural networks with time-varying and infinite distributed delays,Applied Mathematics and Computation266(2015)860-873.(SCI,EI)

[34]Liangliang Li,Jigui Jian*, Exponential convergence and Lagrange stability for impulsive Cohen-Grossberg neural networks with time-varying delays,Journal of Computational and Applied Mathematics277 (2015) 23-35.(SCI, EI)

[35]Zhihua Zhao,Jigui Jian*, Attracting and quasi-invariant sets for BAM neural networks ofneutral-type with time-varying and infinite distributed delays,Neurocomputing140(2014)265-272.(SCI,EI)

[36]Zhihua Zhao,Jigui Jian*,Positive invariant sets and global exponential attractive sets ofBAM neural networks with time-varying and infinite distributed delays,Neurocomputing42(2014)447-457. (SCI, EI)

[37] Zhengwen Tu,Jigui Jian, Baoxian Wang,Positive invariant sets and global exponential attractive sets of a class of neural networks with unbounded time-delays,Communications in Nonlinear Science and Numerical Simulation16(2011)3738-3745. (SCI, EI)

[38] Zhengwen Tu,Jigui Jian, Kang Wang,Global exponential stability in Lagrange sense for recurrent neural networks with both time-varying delays and general activation functions via LMI approach,Nonlinear Analysis: Real World Applications12(2011)2174-2182. (SCI, EI)

[39]Baoxian Wang,Jigui Jian,Stability and Hopf bifurcation analysis on a four-neuron BAM neural network with distributed delays,Communications in Nonlinear Science and Numerical Simulations15(2010)189-204.(SCI,EI)

[40] Baoxian Wang,Jigui Jian, Minghui Jiang,Stability in Lagrange sense for Cohen- Grossberg neural networks with time-varying delays and finite distributed delays,Nonlinear Analysis: Hybrid Systems4(2010)65-78.(SCI, EI)

[41]蹇继贵,涂正文,王建凤,一类混沌系统全局指数吸引集的新结果及应用,华中科技大学学报(自然科学版)38(2010)12-14.(EI)

[42]王宝贤,蹇继贵,延时耦合的复杂动力网络的全局混沌同步,系统工程与电子技术,31(2009)1124-1127.(EI)

[43] Baoxian Wang,Jigui Jian, Chuande Guo,Global exponential stability of a class of BAM networks with time-varying delays and continuously distributed delays.Neurocomputing71(2008)495-501. (SCI, EI)

[44]蹇继贵,廖晓昕,非线性非自治系统的等度渐近稳定性,数学杂志26(2006)457-461.

[45]蹇继贵,俞辉,罗海庚,廖晓昕,两个刚体角速度运动的部分同步,华中科技大学学报(自然科学版)34(2006)21-24. (EI)

[46]Jigui Jian, Haigeng Luo, Xiaoxin Liao,Partial stability of a class of large-scale systems with partially stable isolated subsystems,Journal Systems Engineering and Electronics16(2005)346-350.(EI)

[47]Jigui Jian, Xiaoxin Liao,Partial stabilization of a class of continuous nonlinear control systems with separated variables,Journal of Systems Science and Systems Engineering14(2005)177-186.

[48]蹇继贵,廖晓昕,非线性时变系统部分指数稳定的一次近似,控制理论与应用22(2005)632-636.(EI)

[49]蹇继贵,廖晓昕,非线性时变系统的部分指数稳定性分析,系统工程与电子技术27(2005)304-307.(EI)

[50]蹇继贵,孔德明,罗海庚,廖晓昕,分离变量时滞微分系统的指数稳定性,中南大学学报(自然科学版)36(2005)282-287.(EI)

[51]蹇继贵,罗海庚,廖晓昕,非线性控制大系统的部分镇定,华中科技大学学报(自然科学版)33(2005)34-37.(EI)

[52]蹇继贵,廖晓昕,非线性非自治系统零解的稳定性及部分稳定性研究,数学杂志25(2005)641-644.

四、表彰奖励

1.神经网络系统的有界性、吸引集及应用研究(2019Z-028-3-011-011-R01),湖北省自然科学叁等奖,2019.12.

2.复杂动力系统的渐近行为分析及控制(2011Z-025-3010-008-R03),湖北省自然科学叁等奖,2011.12.

3. 神经网络的有界性、吸引集及应用研究(SXDX-ZK-2018-13-6-6),三峡大学自然科学叁等奖,2019.04.

4.线性矩阵不等式及其在鲁棒控制中的应用(2008L-009-3-007-003-D02),三峡大学科学技术成果三等奖,2009.09.

5.系列论文“部分稳定性”(2006L-010-2-006-003-D01),三峡大学科学技术成果二等奖,2007.11.

6.2008、2011、2014及2015年分别被评为三峡大学“优秀硕士研究生指导教师”.

7.2009、2012、2015及2016年分别被评为湖北省“优秀硕士研究生指导教师”.

五、学术兼职

湖北省工业与应用数学学会常务理事

六、其它

1. 指导硕士研究生获奖

a.校优秀硕士学位论文

(1)万鹏,分数阶复值神经网络的动态行为分析,三峡大学优秀硕士学位论文,2017.06.

(2)李亮亮,带有脉冲和随机扰动的神经网络的状态估计和不变集研究,三峡大学优秀硕士学位论文,2015.06.

(3) 赵志华,BAM神经网络的正不变集、吸引集及拟不变集研究,三峡大学优秀硕士学位论文,2014.06.

(4)涂正文,几类时滞系统的正不变集和吸引集,三峡大学优秀硕士学位论文,2011.06.

(5)王宝贤,一类双向联想记忆神经网络的动力学行为研究,三峡大学优秀硕士学位论文,2008.06.

b.省优秀硕士学位论文

(1)李亮亮,带有脉冲和随机扰动的神经网络的状态估计和不变集研究,2016年湖北省优秀硕士学位论文,2016.12.

(2) 赵志华,BAM神经网络的正不变集、吸引集及拟不变集研究,2015年湖北省优秀硕士学位论文,2015.12.

(3)涂正文,几类时滞系统的正不变集和吸引集, 2012年湖北省优秀硕士学位论文,2012.12.

(4)王宝贤,一类双向联想记忆神经网络的动力学行为研究,2009年湖北省优秀硕士学位论文,2009.12.

c.国家奖学金获得者

(1) 李亮亮,2014年研究生国家奖学金获得者.

(2)赵志华,2013年研究生国家奖学金获得者.

2. 指导硕士研究生项目立项

(1) 唐 倩,复值惯性神经网络的渐近行为分析(2017YPY081),2017年三峡大学硕士学位论文培优基金(4000元),2017.09-2018.06.

(2)万 鹏,基于忆阻神经网络的动态行为分析(2015CX125),2015年三峡大学研究生科研创新基金项目(3000元),2015.06-2016.11.

(3)李亮亮,带有脉冲和随机扰动的神经网络的状态估计和不变集研究(2014PY063),2014年三峡大学硕士学位论文培优基金(4000元),2014.06-2015.06.

(4)姜文琳,模糊神经网络的指数吸引集研究(2014PY068),2014年三峡大学硕士学位论文培优基金(4000元),2014.06-2015.06.

(5)赵志华,几类时滞神经网络的Laguange稳定性分析(2013PY071),2013年三峡大学硕士学位论文培优基金项目资助(4000元),2013.07-2014.06.

(6)赵志华,具有无限分布时滞神经网络的正向不变集和全局指数吸引集研究(2012CX076),三峡大学2012年研究生科研创新基金(3000元),2012.09-2013.09.

(7)涂正文,几类时滞系统的正不变集和吸引集(2010PY084),2010年三峡大学硕士学位论文培优基金项目(2000元),2010.06-2011.0.

(8)涂正文,一类具有无穷时滞的中立型Hopfield神经网络的吸引集和不变集(200946),2009年三峡大学研究生科研创新基金项目(5000元),2009.05-2010.06.

(9)王建凤,时滞中立型系统的有限时间有界性和指数稳定保性能控制,2009年三峡大学硕士学位论文培优基金(2000元),2009.06-2010.06.

(10)李圣荣,切换线性广义系统的分析与控制,2008年三峡大学硕士学位论文培优基金(2000元),2008.06-2009.06。

(11)王宝贤,一类双向联想记忆神经网络的动力学行为研究,2007年三峡大学硕士学位论文培优基金(2000元),2007.06-2008.06.

3.已毕业硕士研究生获国家基金情况

(1)涂正文,四元数神经网络的动力学行为分析(11601047),国家自然科学青年基金,17万元,2017.01-2019.12.

(2)王宝贤,基于能量约束的分数阶多智能体系统的一致性性能分析(61304162),国家自然科学青年基金,25万元,2014.01-2016.12.

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