张伟，副教授，硕士生导师。主要从事神经网络、忆阻系统理论与应用、脉冲控制理论与应用、混杂系统、时滞系统、图像处理等方面的研究。主持国家自然科学基金1项，中央高校基金2项。近年来在IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Circuits and Systems II、Neural Networks、Journal of the Franklin Institute、Neurocomputing等学术期刊上发表SCI论文20余篇。并且担任多个国际期刊和学术会议的审稿人,如IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, Nneural Networks, Nonlinear Dynamics, Neurocomputing等。

学习和工作经历

2018年07月—至今 welcome皇冠地址 welcome皇冠地址 副教授

2016年01月—2018年06月 welcome皇冠地址 welcome皇冠地址 讲师

2014年10月—2014年12月Texas A&M University at Qatar访问学者

2011年09月—2015年12月 重庆大学 计算机学院 工学博士

2007年09月—2011年06月 重庆师范大学 计算机学院 工学学士

科研项目

[1] 主持：国家自然科学基金项目（61703346）：带有忆阻项的惯性神经网络的建模与分析

[2] 参与：国家自然科学基金（61403313）：具有时滞项的离散惯性神经网络的余维2分岔。

[3] 参与: 国家自然科学基金（61403050）：忆阻系统的动力学行为分析及其应用。

[4] 参与：国家自然科学基金（61873213）：脉冲饱和控制系统理论。

代表性论文

[1] Zhang Wei*, Zhou Zichuan，Nan Hong.Multi-leader Bipartite Consensus of Stochastic Delayed Signed Networks with Event-triggered Unbounded Delayed Impulses,IEEE Transactions on Circuits and Systems II: Express Brief,DOI: 10.1109/TCSII.2022.3214530.

[2] Zhou Zichuan，Zhang Wei*, Ruihong Xiu.Bipartite leader-follower consensus for nonlinear signed networks with impulsive control,Neural Computing and Applications,,doi.org/10.1007/s00521-022-07860-8.

[3] Xiu Ruihong,Zhang Wei*, Zhou Zichuan.Synchronization issue of coupled neural networks based on flexible impulse control.Neural Networks,2022, 149(1): 57-65.

[4] Zhang Wei*, Huang Junjian.Stability analysis of stochastic delayed differential systems with state-dependent-delay impulses: application of neural networks,Cognitive Computation, 2022, 14(2): 805-813.

[5] Zhang Wei*, Qi Jiangtao.Synchronization of coupled memristive inertial delayed neural networks with impulse and intermittent control.Neural Computing and Applications, 2020, 33(13).

[6] Zhang Wei*, Huang Tingwen, Li Chuandong et al. Robust Stability of Inertial BAM Neural Networks with Time Delays and Uncertainties via Impulsive Effect. Neural Processing Letters, 2018, 48(1): 245-256.

[7] Zhang Wei*, Qi Jiangtao, He Xing. Input-to-state stability of impulsive inertial memristive neural networks with time-varying delayed. Journal of the Franklin Institute, 2018, 355(17): 8971-8988.

[8] Zhang Wei*,Huang Tingwen,He Xing, et al. Global exponential stability of inertial memristor-based neural networks with time-varying delays and impulses. Neural Networks, 2017, 95: 102-109.

[9] Zhang Wei,Li Chuandong, Huang Tingwen. Exponential stability and periodicity of memristor-based recurrent neural networks with time-varying delays. International Journal of Biomathematics, 2017, 10(02): 1750027.

[10] Qi Jiangtao, Li Chuandong, Huang Tingwen, Zhang Wei. Exponential Stability of Switched Time-varying Delayed Neural Networks with All Modes Being Unstable. Neural Processing Letters, 2016, 43(2): 553-565.

[11] Zhang Wei, Li Chuandong, Huang Tingwen, Huang Junjian. Stability and synchronization of memristor-based coupling neural networks with time-varying delays via intermittent control. Neurocomputing, 2016, 173: 1066-1072.

[12] Zhang Wei, Li Chuandong, Huang Tingwen, He Xing. Synchronization of Memristor-based Coupling Recurrent Neural Networks with Time-varying Delays and Impulses, IEEE Transactions on Neural Networks and Learning Systems,, 2015, 26(12): 3308-3313.

[13] Zhang Wei, Li Chuandong, Huang Tingwen, Qi Jiangtao. Global Stability and Synchronization of Markovian Switching Neural Networks with Stochastic Perturbation and Impulsive Delay. Circuits, Systems, and Signal Processing, 2015: 1-18.

[14] Zhang Wei, Li Chuandong, Huang Tingwen. Synchronization of complex networks with stochastic perturbation via aperiodically intermittent control. Neural Networks，2015, 71: 105-111.

[15] Zhang Wei, Li Chuandong, Huang Tingwen, et al. Exponential stability of inertial BAM neural networks with time-varying delay via periodically intermittent control. Neural Computing and Applications, 2015, 26(7):1781-1787.

[16] Zhang Wei, Li Chuandong, Huang Tingwen. Global robust stability of complex-valued recurrent neural networks with time-delays and uncertainties. International Journal of Biomathematics, 2014, 7(2): 1450016-1450040.

[17] Zhang Wei, Li, Chuandong, Huang Tingwen, Qi Jiangtao. Global exponential synchronization for coupled switched delayed recurrent neural networkswith stochastic perturbation and impulsive effects. Neural Computing &Applications, 2014, 25(6): 1275-1283.

[18] Zhang Wei*,Huang JJ. Synchronization of stochastic delayed neural networks via aperiodically intermittent control.Complex Systems and Networks (IWCSN), 2017 International Workshop on IEEE, 2017: 124-129.

[19] Hong Nan,Zhang Wei*,Zhang Tianguang. Stability of Inertial Delayed Neural Networks via Event-Triggered Impulsive Control. 2021 International Conference on Neuromorphic Computing (ICNC), 2021, pp. 332-337, doi:10.1109/ICNC52316.2021.9608314.

[20] Li Yuqing, He Xing, Zhang Wei*. The fractional difference form of sine chaotification model, Chaos Solitons & Fractals, 2020, 137：0-UNSP 109774.

[21] Li Hongfei, Zhang Wei, Li Chuandong, Zhang Wanli. Global asymptotical stability for a class of non-autonomous impulsive inertial neural networks with unbounded time-varying delay, Neural Computing & Applications, 2019, 31(10)：6757-6766.

[22] Hongfei Li, Chuandong Li, Wei Zhang, Jing Xu. Global Dissipativity of Inertial Neural Networks with Proportional Delay via New Generalized Halanay Inequalities, Neural Processing Letters, 2018, 48, 1543–1561.