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博士生导师
博士生导师
刘恒
2022年12月10日 12:12  点击：[]


刘恒（1981.1），山东临沂人， 教授，博士生导师

研究方向: 微积分史；分数阶微积分

学习经历

2014/09-2017/06, 陕西师范大学, 数学与信息科学学院，博士

2003/09-2006/03, 西南交通大学, 数学科学学院, 硕士

1999/09-2003/07, 西南交通大学, 数学科学学院, 本科

工作经历

2017/12至今, 东南大学数学学院, 博士后, 合作导师：曹进德教授

2021/1—至今, 广西民族大学数学与物理, 教授

2019/1—2020/12, 广西民族大学数学与物理学院, 副教授

访学经历

2020/09—2021/07, 中山大学计算机学院，访问学者，导师：潘永平教授

主持课题

1. 国家自然科学基金：分数阶时滞模糊系统的正性和稳定性, 2023.01-2026.12,29万元，主持，在研

2. 国家自然科学基金：非持续激励条件下提高参数收敛精度的分数阶模糊综合学习控制(61967001), 2020.01—2023.12年, 38万元,主持，在研

3. 广西民族大学相思湖青年学者A类创新研究团队：分数阶理论与控制研究创新团队(2019RSCXSHQN02), 2020.1—2022.12, 60万元，主持，在研

4. 广西自然科学基金面上项目：不确定时滞非线性系统的分数阶神经网络自主学习控制(2019GXNSFAA185007), 2019—2021年, 10万元，主持，已结题

5. 安徽省自然科学基金面上项目：分数阶不确定时滞系统的分数阶Lyapunov函数的构造及模糊自适应控制(1808085MF181), 2018—2020年, 10万元，主持，已结题

6. 中国博士后科学基金一等资助(2018M630489)：不确定分数阶非线性系统的自适应模糊智能学习控制, 2019—2022年, 8万元，主持，在研

学术论文

[1]. Wang Q, Cao J, Liu H*. Event-triggered adaptive fuzzy pi control of uncertain fractional-order nonlinear systems with full-state constraints [J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2022, doi: 10.1109/TETCI.2022.3213708.

[2]. Wang Q, Cao J, Liu H*. Adaptive fuzzy control of nonlinear systems with predefined time and accuracy[J]. IEEE Transactions on Fuzzy Systems, 2022, doi: 10.1109/TFUZZ.2022.3169852.

[3]. Liu H, Pan Y*, Cao J, Zhou Y, Wang H. Positivity and stability analysis for fractional-order delayed systems: A T-S fuzzy model approach[J]. IEEE Transactions on Fuzzy Systems, 2021, 29(4): 927 -939.

[4]. Liu H, Pan Y*, Cao J, Wang H, Zhou Y. Adaptive neural network backstepping control of fractional-order nonlinear systems with actuator faults[J]. IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(12): 5166-5177.

[5]. Liu H, Pan Y*, Cao J. Composite learning adaptive dynamic surface control of fractional-order nonlinear systems[J], IEEE Transactions on Cybernetics, 2020, 50(6): 2557-2567.

[6]. Liu H, Pan Y*, Li S, Chen Y. Adaptive fuzzy backstepping control of fractional-order nonlinear systems[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017, 47(8): 2209-2217. ESI高被引

[7]. Liu H, Wang H, Cao J*, Alsaedi A, Hayat T. Composite learning adaptive sliding mode control of fractional-order nonlinear systems with actuator faults[J]. Journal of the Franklin Institution. 2019, 356(16): 9580-9599.

[8]. Liu H, Li S*, Wang H, Sun Y. Adaptive fuzzy control for a class of unknown fractional-order neural networks subject to input nonlinearities and dead-zones[J]. Information Sciences, 2018, 454-455: 30-45.

[9]. Liu H, Li S, Cao J*, Li G, Alsaedi A, & Alsaadi F E. Adaptive fuzzy prescribed performance controller design for a class of uncertain fractional-order nonlinear systems with external disturbances[J]. Neurocomputing, 2017, 219: 422-430.

[10]. Liu H, Li S*, Li G, Wang H. Adaptive controller design for a class of uncertain fractional-order nonlinear systems: An adaptive fuzzy approach[J]. International Journal of Fuzzy Systems, 2018, 20(2): 366-379.

[11]. Liu H, Pan Y*, Li S, and Chen Y. Synchronization for fractional-order neural networks with full/under-actuation using fractional-order sliding mode control[J]. International Journal of Machine Learning and Cybernetics, 2018, 9(7): 1219-1232.

[12]. Liu H, Li S*, Li G, Wang H. Robust adaptive control for fractional-order financial chaotic systems with system uncertainties and external disturbances[J]. Information Technology & Control, 2017, 46(2):246-259.

[13]. Liu H, Li S*, Wang H, Li G. Adaptive fuzzy synchronization for a class of fractional-order neural networks[J]. Chinese Physics B, 2017, 26(3), 030504.

[14]. Liu H, Li S*, Sun Y, Wang H. Prescribed performance synchronization for fractional-order chaotic systems[J]. Chinese Physics B, 2015, 24(9): 090505.

[15]. 刘恒,李生刚*,孙业国,王宏兴. 带有未知非对称控制增益的不确定分数阶混沌系统自适应模糊同步控制[J]. 物理学报, 2015, 64(7): 070503.

[16]. Liu, H, Li, S., Wang, H., Huo, Y., Luo, J. Adaptive synchronization for a class of uncertain fractional-order neural networks. Entropy, 2015, 17(10), 7185-7200.

[17]. Zhou Y, Liu H*, Cao J, Li S. Composite learning fuzzy synchronization for incommensurate fractional-order chaotic systems with time-varying delays[J]. International Journal of Adaptive Control and Signal Processing. 2019, 33(12): 1739-1758.

[18]. Zhou Y, Wang H, Liu H*. Generalized function projective synchronization of incommensurate fractional-order chaotic systems with inputs saturation[J]. International Journal of Fuzzy Systems,2019, 21(3): 823-836.

[19]. Ha S, Liu H*, Li S. Adaptive fuzzy backstepping control of fractional-order chaotic systems with input saturation[J]. Journal of Intelligent & Fuzzy Systems, 2019, 37(5): 6513-6525.

[20]. Ha S, Liu H*, Li S, Liu A. Backstepping-based adaptive fuzzy synchronization control for a class of fractional-order chaotic systems with input saturation[J]. International Journal of Fuzzy Systems, 2019, 21(5): 1571-1584.

[21]. Han Z, Li S, Liu H*. Composite learning sliding mode synchronization of chaotic fractional-order neural networks[J]. Journal of Advanced Research, 2020, 25: 87-96.

[22]. Ha S, Chen L, Liu H*. Command filtered adaptive neural network synchronization control of fractional-order chaotic systems subject to unknown dead zones, Journal of The Franklin Institution, 2021, 358(7): 3376-3402.

[23]. Ha S, Chen L, Liu H*. Adaptive fuzzy variable structure control of fractional-order nonlinear systems with input nonlinearities. International Journal of Fuzzy Systems, 2021, 23, 2309--2323

[24]. Xue G, Lin F, Li S, Liu H*. Adaptive dynamic surface control for finite-time tracking of uncertain nonlinear systems with dead-zone inputs and actuator faults[J]. International Journal of Control, Automation and Systems, 2021: doi: 10.1007/s12555-020-0441-6.

[25]. Ha, S, Chen, L, Liu H*, Zhang, S. Command filtered adaptive fuzzy control of fractional-order nonlinear systems [J]. European Journal of Control. 2022, 63: 48-60.

[26]. Hao Y, Huang C, Cao J, Liu H*. Positivity and stability of fractional-order linear time-delay systems [J]. Journal of Systems Science & Complexity, 2022, doi: 10.1007/s11424-022-1018-7.

[27]. Qiu H, Liu H*, Zhang X. Historical data-driven composite learning adaptive fuzzy control of fractional-order nonlinear systems, International Journal of Fuzzy Systems, 2022, doi: 10.1007/s40815-022-01430-9.

学术兼职

广西数学会常务理事；SCI期刊《Frontiers in Applied Mathematics and Statistics》《Mathematical Problems in Engineering》编委

联系方式

liuheng122@gmail.com; liuheng122@gxmzu.edu.cn


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