孔凡超(安徽師範大學數學與統計學院教師)

孔凡超(安徽師範大學數學與統計學院教師)

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孔凡超,男,安徽六安人,1990年5月生,博士,副教授,碩士生導師,安徽省青年數學獎獲得者。主要從事不連續系統的穩定性和可控性及其套用的研究,在IEEE Transactions on Cybernetic 、IEEE Transactions on Fuzzy Systems 、IEEE Transactions on Systems, Man, and Cybernetics: Systems等IEEE彙刊、International Journal of Robust and Nonlinear Control 、Journal of the Franklin Institute 、Nonlinear Dynamics 、Fuzzy Sets and Systems等國內外重要SCI期刊上以第一作者發表文章50餘篇,ESI前1%高被引論文2篇,ESI前0.1% 熱點論文1篇。

基本介紹

  • 中文名:孔凡超
  • 職業:教師
  • 任職院校:安徽師範大學數學與統計學院
工作經歷,講授課程,科研項目,學術兼職,獲獎情況,科研論文,

工作經歷

2021.11 至今,安徽師範大學,數學與統計學院,副教授
2019.11-2021.11,湖南師範大學,統計學博後,指導老師朱全新教授
2019.07-2021.11,安徽師範大學,數學與統計學院,講師

講授課程

本科生:數學分析、高等數學
碩士研究生:非線性泛函分析、不連續系統穩定性理論與套用

科研項目

1. 安徽省自然科學基金青年項目,2008085QA14,奇異微分方程穩定性及相關問題的研究,2020/07/01-2022/06/30,主持
2. 國家自然科學基金青年基金項目,12001011,奇異微分系統的脈衝穩定和可控性問題研究,2021/01/01-2023/12/31,主持
3. 國家自然科學基金面上項目,62173139,隨機非線性系統的穩定性分析與鎮定控制研究,合作研究
4. 安徽省高校優秀青年科研項目, 2022AH030023,不連續隨機系統穩定性與鎮定研究, 2023/01/01-2025/12/31,主持

學術兼職

1. 美國《數學評論》 (Mathematical Reviews) 評論員
2. IEEE 會員 (Member, IEEE)
3. 國際 SCI 期刊特刊客座編輯
· Special Issue in Symmetry : Advanced Symmetry Methods for Dynamics, Control,
Optimization and Applications
· Special Issue in Symmetry : Synchronization Control of Complex Systems

獲獎情況

2015 年:碩士研究生國家獎學金
2018 年:博士研究生國家獎學金
2019 年:博士研究生國家獎學金
2021 年:第六屆“安徽省青年數學獎”

科研論文

[1] F.C. Kong , Q.X. Zhu*, Fixed-time stabilization of discontinuous neutral neural networks with proportional delays via new fixed-time stability lemmas. IEEE Transactions on Neural Networks and Learning Systems 34 (2023) 775-785.(Regular)
[2] F.C. Kong *, C. Hu, L.M. Wang, T.W. Huang, Fixed-time stabilization of leakage-delayed neural networks modeled by delayed Filippov systems: leakage-delay-dependent settling-time. IEEE Transactions on Network Science and Engineering (2023) doi:10.1109/TNSE.2023.3243130. (Regular)
[3] R. Sakthivel*, A. Parivallal, F.C. Kong , Y. Ren, Bipartite consensus for Takagi-Sugeno fuzzy uncertain multi-agent systems with gain fluctuations. IEEE Transactions on Signal and Information Processing over Networks 9 (2023) 74-83. (Regular)
[4] F.C. Kong , Q.X. Zhu*, T.W. Huang, Fixed-time stability for discontinuous uncertain inertial neural networks with time-varying delays. IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (2022) 4507-4517.(Regular)
[5] F.C. Kong , Q.X. Zhu*, T.W. Huang, New fixed-time stability analysis of delayed discontinuous systems via an augmented indefinite Lyapunov-Krasovskii functional. IEEE Transactions on Cybernetics 52 (2022) 13438-13447. (Regular)
[6] F.C. Kong , Q.X. Zhu*, T.W. Huang, Fixed-time stabilization of delayed discontinuous fuzzy neural networks via delayed stability conditions of Filippov systems. IEEE Transactions on Fuzzy Systems 30 (2022) 4348-4358.
[7] F.C. Kong , Q.X. Zhu*, T.W. Huang, Improved fixed-time stability lemma of discontinuous system and its application. IEEE Transactions on Circuits and Systems I: Regular Papers 69 (2022) 835-846.(Regular)
[8] F.C. Kong , Q.X. Zhu*, R. Sakthivel, New fixed-time stability in probability lemmas of stochastic discontinuous systems and applications. Nonlinear Dynamics 110 (2022) 2753-2768.
[9] F.C. Kong *, Q.X. Zhu, Finite-time stabilization of discontinuous fuzzy neutral-type neural networks with D operator and multiple time-varying delays. Fuzzy Sets and Systems 449 (2022) 32-55.
[10] F.C. Kong , Q.X. Zhu*, New results on global stability analysis of discontinuous Cohen-Grossberg neural networks of neutral-type in Hale's form. International Journal of Control 95 (2022) 516-525.
[11] H.J. Qiu, F.C. Kong *, Global exponential stability of inertial Cohen-Grossberg neural networks with parameter uncertainties and time-varying delays. International Journal of Control 95 (2022) 2126-2140.
[12] S. Priyanka, R. Sakthivel, S. Mohanapriya, F.C. Kong , S. Saat, Composite fault-tolerant and anti-disturbance control for switched fuzzy stochastic systems. ISA Transactions 125 (2022) 99-109.
[13] F.C. Kong , Q.X. Zhu*, T.W. Huang, New fixed-time stability criteria of time-varying delayed discontinuous systems and application to discontinuous neutral-type neural networks. IEEE Transactions on Cybernetics (2021) doi:10.1109/TCYB.2021.3117945. (Regular)
[14] F.C. Kong , Q.X. Zhu*, T.W. Huang, New fixed-time stability lemmas and applications to the discontinuous fuzzy inertial neural networks. IEEE Transactions on Fuzzy Systems 29 (2021) 3711-3722. (Regular) ( ESI 高被引、熱點論文 )
[15] F.C. Kong , Q.X. Zhu*, New fixed-time synchronization control of discontinuous inertial neural networks via indefinite Lyapunov-Krasovskii functional method. International Journal of Robust and Nonlinear Control 31 (2021) 471-495.
[16] R. Sakthivel*, A. Parivallal, S.Manickavalli, F.C. Kong , Y. Ren, Resilient dynamic output feedback control for bipartite consensus of multiagent systems with Markov switching topologies. International Journal of Robust and Nonlinear Control 31 (2021) 5926-5942.
[17] F.C. Kong , R. Rakkiyappan, Finite-time and fixed-time synchronization control of discontinuous fuzzy Cohen-Grossberg neural networks with uncertain external perturbations and mixed time delays. Fuzzy Sets and Systems 411 (2021) 105-135.
[18] F.C. Kong , Q.X. Zhu*, R. Sakthivel, A. Mohammadzadeh, Fixed-time synchronization analysis for discontinuous fuzzy inertial neural networks with parameter uncertainties. Neurocomputing 422 (2021) 295-313. ( ESI 高被引論文 )
[19] F.C. Kong , Y. Ren*, R. Sakthivel, New criteria on periodicity and stabilization of discontinuous uncertain inertial Cohen-Grossberg neural networks with proportional delays. Chaos, Solitons and Fractals 150 (2021) 111148.
[20] F.C. Kong *, R. Sakthivel, Uncertain external perturbation and mixed time delay impact on fixed-time synchronization of discontinuous neutral-type neural networks. Applied and Computational Mathematics 20 (2021) 290-312.
[21] F.C. Kong , Q.X. Zhu*, R. Sakthivel, Finite-time stabilization of discontinuous fuzzy inertial Cohen-Grossberg neural networks with mixed time-varying delays. Nonlinear Analysis: Modelling and Control 26 (2021) 759-780.
[22] F.C. Kong , Q.X. Zhu*, R. Rakkiyappan, Robust synchronization control of discontinuous CGNNs with time-varying delays. International Journal of Control 94 (2021) 1903-1919.
[23] F.C. Kong , Q.X. Zhu*, C. Aouiti, F. Dridi, Periodic and homoclinic solutions of discontinuous Cohen-Grossberg neural networks with time-varying delays. European Journal of Control 59 (2021) 238-249.
[24] F.C. Kong* , R. Sakthivel, Delay-dependent criteria for general decay synchronization of discontinuous fuzzy neutral-type neural networks with time-varying delays. International Journal of Robust and Nonlinear Control 30 (2020) 4503-4530.
[25] F.C. Kong , Q.X. Zhu*, R. Sakthivel, Finite-time and fixed-time synchronization control of fuzzy Cohen-Grossberg neural networks. Fuzzy Sets and Systems 394 (2020) 87-109.
[26] F.C. Kong , Y. Ren*, R. Sakthivel, Delay-dependent criteria for periodicity and exponential stability of inertial neural networks with time-varying delays. Neurocomputing 419 (2020) 261-272.
[27] F.C. Kong , J.J. Nieto*, Control of bounded solutions for first order singular differential equations with impulses. IMA Journal of Mathematical Control and Information 37 (2020) 877-893.
[28] F.C. Kong , Q.X. Zhu*, General decay synchronisation of discontinuous fuzzy neural networks with discrete and distributed time-delays via nonlinear feedback control. International Journal of Systems Science 51 (2020) 3347-3363.
[29] F.C. Kong , Q.X. Zhu*, K. Wang, J.J. Nieto, Stability analysis of almost periodic solutions of discontinuous BAM neural networks with hybrid time-varying delays and D operator. Journal of the Franklin Institute 356 (2019) 11605-11637.
[30] F.C. Kong, Q.X. Zhu*, F. Liang, J.J. Nieto, Robust fixed-time synchronization of discontinuous Cohen–Grossberg neural networks with mixed time delays. Nonlinear Analysis: Modelling and Control 24 (2019) 603-625.

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