2004-2008年 江南大学信息工程学院，获博士学位；

2008年6月-2009年6月 美国密歇根州立大学数学系，访问学者；

2014年2月-2014年10月，教育部科技司；

2011年4月-2013年7月 东南大学自动化学院，博士后

神经网络动力学；多智能体一致性；复杂网络同步

[1]. Chen Zheng, Jinde Cao, Manfeng Hu, Xiaozheng Fan, Finite-time stabilisation for discrete-time T–S fuzzy model system with channel fading and two types of parametric uncertainty,International Journal of Systems Science,2017，48（1）：38-42.

[2]. Chen Zheng, Manfeng Hu, Liuxiao Guo, Finite-time boundedness analysis for a new multi-layer switched system with time-delay, Neurocomputing, 2016,171: 277–282.

[3]. Jun Li,Manfeng Hu, Liuxiao Guo, Yongqing Yang, Yinghua Jin, Stability of uncertain impulsive stochastic fuzzy neural networks with two additive time delays in the leakage term, Neural Computing and Applications,2015,26(2): 417–427.

[4]. Manfeng Hu,Jinde Cao, Aihua Hu,Yongqing Yang,Yinghua Jin, A novel finite-time stability criterion for linear discrete-time stochastic system with applications to consensus of multi-agent system, Circuits, Systems, and Signal Processing,2015,34(1): 41–59.

[5]. Manfeng Hu, LiuxiaoGuo, Aihua Hu, Yongqing Yang, Leader-following consensus of linear multi-agent systems with randomly occurring nonlinearities and uncertainties and stochastic disturbances, Neurocomputing, 2015, 149(3): 884–890.

[6]. Manfeng Hu, Jinde Cao, Aihua Hu, Exponential stability of discrete-time recurrent neural networks with time-varying delays in the leakage terms and linear fractional uncertainties. IMA Journal of Mathematical Control and Information, 2014, 31 (3): 345-362.

[7]. Manfeng Hu, Jinde Cao, Aihua Hu, Mean square exponential stability for discrete-time stochastic switched static neural networks with randomly occurring nonlinearities and stochastic delay. Neurocomputing, 2014, 129(10):476–481.

[8]. Jun Li, Manfeng Hu, LiuxiaoGuo, Exponential stability of stochastic memristor-based recurrent neural networks with time-varying delays. Neurocomputing, 2014, 138(22):92–98.

[9]. JianminDuan, Manfeng Hu, Yongqing Yang, LiuxiaoGuo, A delay-partitioning projection approach to stability analysis of stochastic Markovian jump neural networks with randomly occurred nonlinearities. Neurocomputing, 2014, 128(27): 459–465.

[10]. Manfeng Hu, Jinde Cao, Yongqing Yang, Aihua Hu, Passivity analysis for switched generalized neural networks with time-varying delay and uncertain output. IMA Journal of Mathematical Control and Information, 2013, 30 (3): 407-422.

[11]. Manfeng Hu, Jinde Cao, Yongqing Yang, Stability of genetic networks with hybrid regulatory mechanism. Arabian Journal of Mathematics, 2012 , 1(3): 319-328.

[12]. Manfeng Hu, Zhenyuan Xu, Adaptive feedback controller for projective synchronization. Nonlinear Analysis: Real World Applications, 2008, 9(3), 1253-1260.

[13]. Manfeng Hu, Zhenyuan Xu, A general scheme for Q-S synchronization of chaotic systems. Nonlinear Analysis: Theory Methods & Applications, 2008, 69, 1091-1099.

[14]. Manfeng Hu, Yongqing Yang, Zhenyuan Xu, LiuxiaoGuo, Hybrid projective synchronization in a chaotic complex nonlinear system. Mathematics and Computers in Simulation, 2008, 79, 449-457.

[15]. Manfeng Hu, Yongqing Yang, Zhenyuan Xu, Impulsive control of projective synchronization in chaotic systems. Physics Letters A, 2008, 372(18), 3228-3233.

[16]. Manfeng Hu, Zhenyuan Xu, Yongqing Yang, Projective cluster synchronization in drive-response dynamical networks. Physica A: Statistical Mechanics and its Applications, 2008, 387, 3759-3768.

[17]. Manfeng Hu, ZhenyuanXu,Rong Zhang, Full state hybrid projective synchronization of a general class of chaotic maps. Communications in Nonlinear Science and Numerical Simulation, 2008, 13(4), 782-789.

[18]. Manfeng Hu, Zhenyuan Xu, Rong Zhang, Full state hybrid projective synchronization in continuous-time chaotic (hyperchaotic) systems. Communications in Nonlinear Science and Numerical Simulation, 2008,13(2), 456-464.

[19]. Manfeng Hu, Yongqing Yang, Zhenyuan Xu, Rong Zhang, LiuxiaoGuo，Projective synchronization in drive-response dynamical networks. Physica A: Statistical Mechanics and its Applications, 2007, 381, 457-466.

[20]. Manfeng Hu, Zhenyuan Xu, Rong Zhang, Aihua Hu, Parameters identification and adaptive full state hybrid projective synchronization of chaotic (hyper-chaotic) systems. Physics Letters A, 2007,361(3), 231-237.

[21]. Manfeng Hu, Zhenyuan Xu, Rong Zhang, Aihua Hu, Adaptive full state hybrid projective synchronization of chaotic systems with the same and different order. Physics Letters A, 2007,365(4), 315-327.

[22]. Manfeng Hu, Zhenyuan Xu, Adaptive projective synchronization of unified chaotic systems and its application to secure communication. Chinese Physics,2007,16(11), 3231-3237.