·姓名： 蹇继贵
·职称： 二级教授
·毕业院校： 华中科技大学
·学历： 博士研究生
·学位： 博士学位
·所在单位： 最全菠菜网
·学科： 数学
·办公地点： Ｌ-1434
·联系方式：0717-6392618
·电子邮箱：jiguijian@ctgu.edu.cn
·个人简介：
蹇继贵（1965－），男，四川苍溪人，硕士生导师及博士生导师.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.》、《IEEE Trans. Fuzzy Syst.》、《Nonlinear Anal.》、《Fuzzy Sets Syst.》、《Neural Netw.》、《Neurocomputing》、《Physica A》、《Math. Comput. Simul.》、《Nonlinear Dyn.》、《ISA Trans.》、《Chaos, Solitons and Fractals》、《数学杂志》等及重要国际会议上发表学术论文120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、菠菜资源平台大全科学技术二等奖1项、菠菜资源平台大全自然科学叁等奖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，参与国家自然科学基金项目3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源刊上发表学术论文50余篇，获湖北省优秀硕士论文4篇，3人获国家研究生奖学金.本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.》、《IEEE Trans. Cybern.》、《ISA Trans.》、《Chaos, Solitons and Fractals》、《Neural Comput. Appl.》等审理稿件.
(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) 国家自然科学基金面上项目：具有测量噪声的非线性系统高增益观测器设计及应用(62273200)，54万元，2023.01-2026.12
(2) 国家自然科学基金面上项目：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.
(3) 国家自然科学基金面上项目：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.
(4) 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.
(5) 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.
(6) 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.
(7) 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.
(8) 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.
(9) 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，2007.01-2008.12.
[1]Feng Zhao,Jigui Jian*, BaoxianWang, Finite-time synchronization of fractional- order delayed memristive fuzzy neural networks,Fuzzy Sets and Systems467 (2023) 108578. (SCI, EI)
[2]Shasha Wang,Jigui Jian*, Predefined-time synchronization of fractional-order memristive competitive neural networks with time-varying delays,Chaos, Solitons and Fractals174 (2023) 113790. (SCI, EI)
[3]Shasha Wang,Jigui Jian*, Predefined-time synchronization of incommensurate fractional -order competitive neural networks with time-varying delays,Chaos, Solitons and Fractals177 (2023) 114216. (SCI, EI)
[4]Jin Yang,Jigui Jian*, Quasi-invariant and attracting sets of competitive neural networks with time-varying and infinite distributed delays,Chaos, Solitons and Fractals177 (2023) 114260. (SCI, EI)
[5] Qiu Peng,Jigui Jian*, Asymptotic synchronization of second-fractional-order fuzzy neural networks with impulsive effects,Chaos, Solitons and Fractals168 (2023) 113150. (SCI, EI)
[6] Qiu Peng,Jigui Jian*, Synchronization analysis of fractional-order inertial-type neural networks with time delays,Mathematics and Computers in Simulation205 (2023) 62-77. (SCI, EI)
[7] Xiulei Wang,Jigui Jian*, Multi-type synchronization for second-order memristive neural networks with mixed time-varying delays,Neural Processing Letters55 (2023) 1759-1781. (SCI, EI)
[8] Feng Zhao,Jigui Jian*, Finite-time synchronization of fractional-order fuzzy Cohen- Grossberg neural networks with time delay,Iranian Journal of Fuzzy Systems19 (2022) 47-61. (SCI)
[9] Tingting Zhang,Jigui Jian*, Exponential synchronization for second-order switched quaternion-valued neural networks with neutral-type and mixed time-varying delays,Nonlinear Analysis: Modelling and Control27 (2022) 1-19. (SCI, EI)
[10] Ling Luo,Jigui Jian*, Sheng Zheng, Non-fragile state estimation for second-order memristive neural networks with unbounded time-varying delays,International Journal of Adaptive Control and Signal Processing36 (2022) 88-103. (SCI, EI)
[11] Tingting Zhang,Jigui Jian*, Quantized intermittent control tactics for exponential synchronization of quaternion-valued memristive delayed neural networks,ISA Transactions126 (2022) 288-299. (SCI, EI)
[12] Qiu Peng,Jigui Jian*, Estimating the ultimate bounds and synchronization of fractional-order plasma chaotic systems,Chaos, Solitons and Fractals150 (2021) 111072. (SCI, EI)
[13] Tingting Zhang,Jigui Jian*, New results on synchronization for second-order fuzzy memristive neural networks with time-varying and infinite distributed delays,Knowledge-Based Systems230 (2021) 107397. (SCI, EI)
[14]Jigui Jian*, Kai Wu, Baoxian Wang, Global Mittag-Leffler boundedness of fractional-order fuzzy quaternion-valued neural networks with linear threshold neurons,IEEE Transactions on Fuzzy Systems29 (2021) 3154-3164. (SCI, EI)
[15] Kai Wu,Jigui Jian*, Global robust exponential dissipativity of uncertain second-order BAM neural networks with mixed time-varying delays,IEEE Transactions on Neural Networks and Learning Systems32 (2021) 5675-5687. (SCI, EI)
[16] 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)
[17] Mengying Yan,Jigui Jian*, Sheng Zheng, Passivity analysis for uncertain BAM inertial neural networks with time varying delays,Neurocomputing435 (2021) 114-125. (SCI, EI)
[18]Jigui Jian*, Liyan Duan, Finite-time synchronization for fuzzy neutral-type inertial neural networks with time-varying coefficients and proportional delays,Fuzzy Sets and Systems381 (2020) 51-67. (SCI, EI)
[19] 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)
[20] Liyan Duan,Jigui Jian*, Global Lagrange stability of inertial neutral type neural networks with mixed time-varying delays,Neural Processing Letters51 (2020) 1849-1867. (SCI, EI)
[21]Jigui Jian*, Kai Wu, Baoxian Wang, Global Mittag-Leffler boundedness and synchronization for fractional-order chaotic systems,Physica A540 (2020) 123166. (SCI, EI)
[22] Qian Tang,Jigui Jian*, Quasi-invariant and attractive sets of inertial neural networks with time-varying and infinite distributed delays,Computational and Applied Mathematics39 (2020) 158. (SCI)
[23] Jin Liu,Jigui Jian*, Baoxian Wang, Stability analysis for BAM quaternion-valued inertial neural networks with time delay via nonlinear measure approach,Mathematics and Computers in Simulation174 (2020) 134-152. (SCI, EI)
[24] Peng Wan,Jigui Jian*, Impulsive stabilization and synchronization of fractional-order complex-valued neural networks,Neural Processing Letters50 (2019) 2201-2218. (SCI, EI)
[25] Peng Wan,Jigui Jian*, a-Exponential stability of impulsive fractional-order complex -valued neural networks with time delays,Neural Processing Letters50 (2019) 1627-1648. (SCI, EI)
[26] Jin Liu,Jigui Jian*, Global dissipativity of a class of quaternion-valued BAM neural networks with time delay,Neurocomputing349 (2019) 123-132. (SCI, EI)
[27] Qian Tang,Jigui Jian*, Exponential synchronization of inertial neural networks with mixed time-varying delays via periodically intermittent control,Neurocomputing338 (2019) 181-190. (SCI, EI)
[28] 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)
[29] 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)
[30]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)
[31] Peng Wan,Jigui Jian*, Jun Mei, Periodically intermittent control strategies for a-exponential stabilization of fractional-order complex-valued delayed neural networks,Nonlinear Dynamics92 (2018) 247-265. (SCI, EI)
[32] 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)
[33] Peng Wan,Jigui Jian*, Passivity analysis of memristor-based impulsive inertial neural networks with time-varying delays,ISA Transactions74 (2018) 88-98. (SCI, EI)
[34]Jigui Jian*, Peng Wan, Lagrange a-exponential stability and a-exponential convergence for fractional-order complex-valued neural networks,Neural Networks91 (2017) 1-10. (SCI, EI)
[35]Peng Wan,Jigui Jian*, Global convergence analysis of impulsive inertial neural networks with time-varying delays,Neurocomputing245 (2017)68-76. (SCI, EI)
[36]Liangliang Li,Jigui Jian*, Lagrange p-stability and exponential p-convergence for stochastic Cohen-Grossberg neural networks with time-varying delays,Neural Processing Letters43 (2016) 611-626. (SCI, EI)
[37]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)
[38]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)
[39]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)
[40]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)
[41]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)
[42] 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)
[43] Liangliang Li,Jigui Jian*, Delay-dependent passivity analysis of impulsive neural networks with time-varying delays,Neurocomputing168 (2015) 276-282. (SCI, EI)
[44] Liangliang Li,Jigui Jian*, Finite-time synchronization of chaotic complex networks with stochastic disturbance,Entropy17 (2015) 39-51. (SCI)
[45] LiangliangLi,Jigui Jian*, 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)
[46] 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)
[47] Zhihua Zhao,Jigui Jian*, Attracting and quasi-invariant sets for BAM neural networks of neutral-type with time-varying and infinite distributed delays,Neurocomputing140 (2014) 265-272.(SCI, EI)
[48] Zhihua Zhao,Jigui Jian*, Positive invariant sets and global exponential attractive sets of BAM neural networks with time-varying and infinite distributed delays,Neurocomputing42 (2014) 447-457. (SCI, EI)
[49]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)
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),菠菜资源平台大全自然科学叁等奖，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)，菠菜资源平台大全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），菠菜资源平台大全科学技术成果二等奖，2007.11.
6．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.
7．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.
8．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.
9．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.
10. 彭 秋，2021年研究生国家奖学金获得者.
11. 李亮亮，2014年研究生国家奖学金获得者.
12. 赵志华，2013年研究生国家奖学金获得者.
