· 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： william威廉亚洲官方
· 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，博士，二级教授，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、william hill官方网站科学技术二等奖1项、william hill官方网站自然科学叁等奖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.
· 主持/参与的科研项目：
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.
· 学术论文：
[1] Qiu Peng, Jigui Jian*, Asymptotic synchronization of second-fractional-order fuzzy neural networks with impulsive effects, Chaos, Solitons and Fractals 168 (2023) 113150. (SCI, EI)
[2] Qiu Peng, Jigui Jian*, Synchronization analysis of fractional-order inertial-type neural networks with time delays, Mathematics and Computers in Simulation 205 (2023) 62-77. (SCI, EI)
[3] Xiulei Wang, Jigui Jian*, Multi-type synchronization for second-order memristive neural networks with mixed time-varying delays, Neural Processing Letters, in Press: https://doi. org/10.1007/s11063-022-10962-y. (SCI, EI)
[4] Feng Zhao, Jigui Jian*, Finite-time synchronization of fractional-order fuzzy Cohen- Grossberg neural networks with time delay, Iranian J. Fuzzy Syst. 19 (2002) 47-61. (SCI)
[5] 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 Control, 27(2022) 1-19. (SCI, EI)
[6] Ling Luo, Jigui Jian*, Sheng Zheng, Non-fragile state estimation for second-order memristive neural networks with unbounded time-varying delays, Int. J. Adapt. Control Signal Process. 36 (2022) 88-103. (SCI, EI)
[7] Tingting Zhang, Jigui Jian*, Quantized intermittent control tactics for exponential synchronization of quaternion-valued memristive delayed neural networks, ISA Transactions 126 (2022) 288-299. (SCI, EI)
[8] Qiu Peng, Jigui Jian*, Estimating the ultimate bounds and synchronization of fractional-order plasma chaotic systems, Chaos, Solitons and Fractals 150 (2021) 111072. (SCI, EI)
[9] Tingting Zhang, Jigui Jian*, New results on synchronization for second-order fuzzy memristive neural networks with time-varying and infinite distributed delays, Knowledge-Based Systems 230 (2021) 107397. (SCI, EI)
[10] 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 Systems, 29 (2021) 3154-3164. (SCI, EI)
[11] 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 Systems, 32 (2021) 5675-5687. (SCI, EI)
[12] Kai Wu, Jigui Jian*, Non-reduced order strategies for global dissipativity of memristive neutral-type inertial neural networks with mixed time-varying delays, Neurocomputing 436 (2021) 174-183. (SCI, EI)
[13] Mengying Yan, Jigui Jian*, Sheng Zheng, Passivity analysis for uncertain BAM inertial neural networks with time varying delays, Neurocomputing 435 (2021) 114-125. (SCI, EI)
[14] Jigui Jian*, Liyan Duan, Finite-time synchronization for fuzzy neutral-type inertial neural networks with time-varying coefficients and proportional delays, Fuzzy Sets and Systems 381 (2020) 51-67. (SCI, EI)
[15] Liyan Duan, Jigui Jian*, Baoxian Wang, Global exponential dissipativity of neutral-type BAM inertial neural networks with mixed time-varying delays, Neurocomputing 378 (2020) 399-412. (SCI, EI)
[16] Liyan Duan, Jigui Jian*, Global Lagrange stability of inertial neutral type neural networks with mixed time-varying delays, Neural Processing Letters 51 (2020) 1849-1867. (SCI, EI)
[17] Jigui Jian*, Kai Wu, Baoxian Wang, Global Mittag-Leffler boundedness and synchronization for fractional-order chaotic systems, Physica A 540 (2020) 123166. (SCI, EI)
[18] Qian Tang, Jigui Jian*, Quasi-invariant and attractive sets of inertial neural networks with time-varying and infinite distributed delays, Computational and Applied Mathematics 39 (2020) 158. (SCI)
[19] 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 Simulation 174 (2020) 134-152. (SCI, EI)
[20] Peng Wan, Jigui Jian*, Impulsive stabilization and synchronization of fractional-order complex-valued neural networks, Neural Processing Letters 50 (2019) 2201-2218. (SCI, EI)
[21] Peng Wan, Jigui Jian*, a-Exponential stability of impulsive fractional-order complex -valued neural networks with time delays, Neural Processing Letters 50 (2019) 1627-1648. (SCI, EI)
[22] Jin Liu, Jigui Jian*, Global dissipativity of a class of quaternion-valued BAM neural networks with time delay, Neurocomputing 349 (2019) 123-132. (SCI, EI)
[23] Qian Tang, Jigui Jian*, Exponential synchronization of inertial neural networks with mixed time-varying delays via periodically intermittent control, Neurocomputing 338 (2019) 181-190. (SCI, EI)
[24] Qian Tang, Jigui Jian*, Global exponential convergence for impulsive inertial complex-valued neural networks with time-varying delays, Mathematics and Computers in Simulation 159 (2019) 39-56. (SCI, EI)
[25] Peng Wan, Jigui Jian*, Global Mittag-Leffler boundedness for fractional-order complex -valued Cohen-Grossberg neural networks, Neural Processing Letters 49 (2019) 121-139. (SCI, EI)
[26] Jigui Jian*, Peng Wan, Global exponential convergence of fuzzy complex- valued neural networks with time-varying delays and impulsive effects, Fuzzy Sets and Systems 338 (2018) 23-39. (SCI, EI)
[27] Peng Wan, Jigui Jian*, Jun Mei, Periodically intermittent control strategies for a-exponential stabilization of fractional-order complex-valued delayed neural networks, Nonlinear Dynamics 92 (2018) 247-265. (SCI, EI)
[28] Qian Tang, Jigui Jian*, Matrix measure based exponential stabilization for complex-valued inertial neural networks with time-varying delays using impulsive control, Neurocomputing 273 (2018) 251-259. (SCI, EI)
[29] Peng Wan, Jigui Jian*, Passivity analysis of memristor-based impulsive inertial neural networks with time-varying delays, ISA Transactions 74 (2018) 88-98. (SCI, EI)
[30] Jigui Jian*, Peng Wan, Lagrange a-exponential stability and a-exponential convergence for fractional-order complex-valued neural networks, Neural Networks 91 (2017) 1-10. (SCI, EI)
[31] Peng Wan, Jigui Jian*, Global convergence analysis of impulsive inertial neural networks with time-varying delays, Neurocomputing 245 (2017)68-76. (SCI, EI)
[32] 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)
[33] Jigui Jian*, Wenlin Jiang, Lagrange exponential stability for fuzzy Cohen- Grossberg neural networks with time-varying delays, Fuzzy Sets and Systems 277 (2015) 65-80. (SCI, EI)
[34] Jigui Jian*, Baoxian Wang, Global Lagrange stability for neutral-type Cohen-Grossberg BAM neural networks with mixed time-varying delays, Mathematics and Computers in Simulation 116 (2015) 1-25. (SCI, EI)
[35] Jigui Jian*, Peng Wan, Global exponential convergence of generalized chaotic systems with multiple time-varying and finite distributed delays, Physica A 431 (2015) 152-165. (SCI, EI)
[36] Jigui Jian*, Baoxian Wang, Stability analysis in Lagrange sense for a class of BAM neural networks of neutral type with multiple time-varying delays, Neurocomputing 149 (2015) 930-939. (SCI, EI)
[37] Jigui Jian*, Zhihua Zhao, Global stability in Lagrange sense for BAM-type Cohen-Grossberg neural networks with time-varying delays, Systems Science & Control Engineering 3 (2015) 1-7. ( EI)
[38] 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 Systems 15 (2015) 63-73. (SCI, EI)
[39] Liangliang Li, Jigui Jian*, Delay-dependent passivity analysis of impulsive neural networks with time-varying delays, Neurocomputing 168 (2015) 276-282. (SCI, EI)
[40] Liangliang Li, Jigui Jian*, Finite-time synchronization of chaotic complex networks with stochastic disturbance, Entropy 17 (2015) 39-51. (SCI)
[41] LiangliangLi, Jigui Jian*, Exponential p-convergence analysis for stochastic BAM neural networks with time-varying and infinite distributed delays, Applied Mathematics and Computation 266 (2015) 860-873. (SCI, EI)
[42] Liangliang Li, Jigui Jian*, Exponential convergence and Lagrange stability for impulsive Cohen-Grossberg neural networks with time-varying delays, Journal of Computational and Applied Mathematics 277 (2015) 23-35. (SCI, EI)
[43] Zhihua Zhao, Jigui Jian*, Attracting and quasi-invariant sets for BAM neural networks of neutral-type with time-varying and infinite distributed delays, Neurocomputing 140 (2014) 265-272. (SCI, EI)
[44] Zhihua Zhao, Jigui Jian*, Positive invariant sets and global exponential attractive sets of BAM neural networks with time-varying and infinite distributed delays, Neurocomputing 42 (2014) 447-457. (SCI, EI)
[45] Jigui Jian*, Zhihua Zhao, New estimations for ultimate boundary and synchronization control for a disk dynamo system, Nonlinear Analysis: Hybrid Systems 9 (2013) 56-66. (SCI, EI)
· 荣誉获奖：
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),william hill官方网站自然科学叁等奖，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)，william hill官方网站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），william hill官方网站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.
