童东兵

发布者:赵葳浏览次数:13722

童东兵、工学博士、复旦大学博士后、教授(破格)、博士生导师、硕士生导师。中国人工智能学会智能空天系统专业委员会委员、国家自然科学基金通讯评审人、上海市科技奖专家库专家、教育部学位论文评审专家、上海市学位论文评审专家、新加坡南洋理工大学访问学者。获校“展翅计划”、“优秀青年教师”等人才计划和称号。ORCID: 0000-0002-4404-780X

主要从事嵌入式、智能控制、智能电网、复杂系统建模与仿真、复杂网络同步与控制、模型降阶等方向的研究。主讲《自动控制理论》、《微机控制系统》、《计算机控制技术》、《过程控制系统》、《计算机控制技术课程设计》和《电气控制课程设计》等课程。

曾主持国家自然科学基金面上项目 1 项、国家博士后基金面上项目 1 项、上海自然科学基金项目 2 项、上海高校青年教师培养资助计划项目 1 项、校基金 3 项,参与国家自然科学基金重点项目1项、国家自然科学基金青年项目3项、省部基金3项。2021年获得上海科技奖(自然科学二等奖)。公开发表学术论文100多篇(其中,SCI 80多篇)。总引次1700多次。指数为22。英文专著 1 部,教材2本,国家专利授权 5 项、受理2项。担任AutomaticaIEEE Transactions on Neural Networks and Learning SystemsIEEE Transactions on Fuzzy SystemsIEEE Transactions on Systems, Man andCybernetics: Systems等多个国际期刊审稿人。

 

联系方式:

办公室:现代交通工程中心7836

电话:15618302759

Emailtongdongbing@163.comtongdb@sues.edu.cn

 

主持的部分项目:

[1] 国家自然科学基金--面上项目61673257、鞅驱动的随机神经网络自适应状态估计与最优控制、 2017/01-2020/1261万元、主持

[2] 上海市自然科学基金面上项目、20ZR1422400、多时间尺度下电力网络系统模型降阶及其应用研究、 2020/07-2023/0620万元、主持

[3] 国家博士后基金面上项目、2015M581528、受控系统的模型降阶及其在降阶中的应用研究、 2015/01-2017/12万元、主持

[4] 上海市自然科学基金面上项目、15ZR1419000、基于鞅论和M-矩阵的随机神经网络的自适应状态估计研究、 2015/01-2017/1210万元、主持

[5] 上海高校青年教师培养资助计划、ZZGCD15004、神经网络的自适状态估计及其参数辨识研究、2015/01-2017/125万元、主持

[6] 上海工程技术大学人才计划-“展翅计划”、nhrc-2015-18、模型降阶及其应用、2015/09-2018/0912万元、主持

[7] 中央高校创新基金项目,BC201136104-06-0019012、受控系统模型降阶及其稳定性研究与应用、2011/05-2013/104万元、主持

  

参与的部分项目:

[1] 国家自然科学基金--应急管理重点项目61751303、异构无人智能集群系统的协同理论与方法、2018/01-2020/12220万元、参与。

[2] 国家自然科学基金--青年项目、61603097、时效复杂网络的图谱分析及应用、2017/01-2019/1220万元、参与。

[3] 国家自然科学基金--青年项目、61503238、基于鞅论的脉冲随机神经网络协同分析及自适应同步的研究、2016/01-2018/1221万元、参与。

[4] 国家自然科学基金--青年项目、61203337、多自由度柔性关节机器人奇异摄动控制若干问题研究、2013/01-2015/1225万元、参与。

[5] 上海市教委重点科学研究与创新计划项目、12zz064、无线传感器网络自适应协同建模分析与控制、2012/01-2014/1220万元、参与。

  

发表的部分论文:

 

2025

[93]Zhenfeng Ma, Dongbing Tong*,Qiaoyu Chen, Wuneng Zhou. Fixed/prescribed-timesynchronization and energy consumption for Kuramoto-oscillator networks[J]. IEEE Transactions on Cybernetics, 2025.  DOI: 10.1109/TCYB.2025.3556103. (SCI) (IDS :) (ISSN: 2168-2267)

[92] QinjieJiang, Dongbing Tong*, Fei Hu. Fixed-time privacy-preservingsynchronization and energy consumption prediction for stochastic neuralnetworks [J]. Neurocomputing, 2025. (SCI) (IDS:) (ISSN:0925-2312)

[91] GuoliangZhu, Dongbing Tong*, Qiaoyu Chen, Jinyong Yu, GuanlingSu, Wuneng Zhou. Synchronization and energy consumption estimation forfractional-order chaotic systems by unified model within finite-time [J]. Transactionsof the Institute of Measurement Control, 2025. DOI:. (SCI) (IDS :) (ISSN: 0142-3312)

 

2024

[90] Meng Shi, Dongbing Tong*,Qiaoyu Chen, Wuneng Zhou. Pth moment exponential synchronization for delayedmulti-agent systems with Lévynoise and Markov switching [J]. IEEE Transactions on Circuits and Systems II:Express Briefs, 2024, 71(2): 697-701. DOI: 10.1109/TCSII.2023.3304635.(SCI) (IDS :IP4T8) (ISSN: 1549-7747)

[89] XuanWang, Dongbing Tong*, Qiaoyu Chen, Wuneng Zhou. Fixed-timesynchronization of interconnected memristive neural networks with energy consumptionvia switched control[J]. Neurocomputing, 2024, 608: 128438. DOI:10.1016/j.neucom.2024.128438. (SCI) (IDS: E4S2A) (ISSN: 0925-2312)

[88]Guoqing Zhai, Qiaoyu Chen*, Dongbing Tong, Wuneng Zhou,Shigen Shen. Dissipative filtering of Markovian jumping systems via adaptivesliding mode control[J]. Circuits, Systems, and Signal Processing, 2024,43: 865-894. DOI: 10.1007/s00034-023-02520-1. (SCI) (IDS : T1YH3) (ISSN: 0278-081X)

[87] ZhiguoRen,  Dongbing Tong*, Qiaoyu Chen, Wuneng Zhou. Slidingmode control for uncertain fractional-order systems with time-varying delays [J].  Circuits,Systems, and Signal Processing, 2024,43, 3979-3995. DOI: 10.1007/s00034-024-02643-z. (SCI) (IDS: SP6S9)(ISSN: 0278-081X)

[86] XuanWang, Dongbing Tong*, Qiaoyu Chen, Wuneng Zhou. Fixed-timesynchronization and energy consumption prediction of interconnected memristiveneural networks with discontinuous activation functions[J]. Circuits,Systems, and Signal Processing, 2024: 43, 6977-6995. DOI: 10.1007/s00034-024-02806-y.(SCI) (IDS : I1I5V) (ISSN: 0278-081X)

[85] JintaoWang, Mao Qi, Zhenwu Xiang, Yi Tian, Dongbing Tong. SaraNet: Semanticaggregation reverse attention network for pulmonary nodule segmentation[J]. Computersin Biology and Medicine, 2024: 108674.

[84] FeiHu, Wuneng Zhou, Kaili Liao, Hongliang Li, Dongbing Tong. Regulatedfederated learning against the effects of heterogeneity and client attacks[J]. IEEEIntelligent Systems, 2024. DOI: 10.1109/MIS.2024.3410372.

[83] YinghaoTong, Zhengyun Ren, Dongbing Tong, Zhiping Fan, Xue Feng. Combinedfinite-time state feedback for high-speed train systems with time-varyingdelays and disturbances[J]. International Journal of Robust and NonlinearControl, 2024, 34(3): 2184-2205.

 

2023

[82] Dongbing Tong, Ben Ma, QiaoyuChen, Yunbing Wei, Peng Shi*. Finite-time synchronization and energyconsumption prediction for multilayer fractional-order networks [J]. IEEETransactions on Circuits and Systems II: Express Briefs, 2023, 70(6): 2176-2180.DOI: 10.1109/TCSII.2022.3233420. (SCI) (IDS : I1FM2) (ISSN: 1549-7747)

[81]Gufan Zhang, Dongbing Tong*, Qiaoyu Chen, WunengZhou. Sliding mode control against false data injection attacks in DC microgridsystems [J]. IEEE Systems Journal. 2023, 17(4): 6159-6168. DOI: 10.1109/JSYST.2023.3280185.(SCI) (IDS :J9CG3) (ISSN: 1932-8184)

[80]Guoqing Yang, Dongbing Tong*, Qiaoyu Chen, Wuneng Zhou. Fixed-timesynchronization and energy consumption for Kuramoto-oscillator networks withmultilayer distributed control [J]. IEEE Transactions on Circuits andSystems II: Express Briefs, 2023, 70(4): 1555-1559.DOI: 10.1109/TCSII.2022.3221477. (SCI) (IDS : D0AV4) (ISSN: 1549-7747) 高倍引论文

[79]Dongbing Tong*, Yinghao Tong*,Qiaoyu Chen*, Wuneng Zhou. Guaranteed cost sampled-datacontrol for high-speed train systems [J]. Optimal Control,Applications and Methods, 2023, 44(4): 1700-1715. DOI: 10.1002/oca.2948.(SCI) (IDS: M4HB0) (ISSN: 0143-2087)

[78]Zhennan Shi, Qiaoyu Chen*, Dongbing Tong, Hongqian Lu.Cluster synchronization and finite-time bounded for complex networks under DoSattacks and encoding�Cdecoding communication protocol[J]. Neural ProcessingLetters, 2023, 55: 11757-11784. DOI: 10.1007/s11063-023-11360-8. (SCI) (IDS: AQ8Y0) (ISSN: 1370-4621)

[77]Yongkai Xie, Dongbing Tong*, QiaoyuChen*, Wuneng Zhou. Cluster synchronization for stochasticcoupled neural networks with nonidentical nodes via adaptive pinning control[J].Neural Processing Letters, 2023, 55: 6571�C6593.  DOI: 10.1007/s11063-023-11149-9.(SCI) (IDS:8U4OO) (ISSN: 1370-4621)

[76]Fei Hu; Wuneng Zhou; Kaili Liao; Hongliang Li; Dongbing Tong. Towardsfederated learning models resistant to adversarial attacks[J]. IEEE Internetof Things Journal, 2023, 10(19): 16917-16930.  DOI: 10.1109/JIOT.2023.3272334.(SCI) (IDS : X1RD5) (ISSN: 2327-4662)

[75]解永凯, 童东兵*, 陈巧玉, 周武能. 基于自适应事件触发牵制控制的多时滞随机耦合神经网络簇同步[J]. 控制理论与应用. 2023, 40(2): 275-282.http://kns.cnki.net/kcms/detail/44.1240.TP.20220802.1347.008.html (EI) (ISSN: 1000-8152)

[74] 王柯杰, 陈巧玉*, 童东兵,毛琦. 具有随机扰动和不确定性的中立型耦合神经网络有限时间同步[J]. 应用数学和力学, 2023, 44(4): 480-488.  DOI:10.21656/1000-0887.420411.  (2023-04-01) (CSCD) (ISSN:1000-0887)

[73]胡竣耀, 陈巧玉*, 童东兵, . 滑模控制的四旋翼无人机拓展状态观测器设计 [J]. 电光与控制, 2023, 30(3): 15-19. (CSCD)

 

 

2022

[72] Dongbing Tong*, Xiang Liu, QiaoyuChen, Wuneng Zhou, Kaili Liao. Observer-based adaptive finite-time prescribedperformance NN control for nonstrict-feedback nonlinear systems[J]. NeuralComputing and Applications, 2022, 34: 12789-12805. DOI:10.1007/s00521-022-07123-6. (SCI) (IDS : 3E6IS) (ISSN: 0941-0643)

[71]Qiaoyu Chen, Dongbing Tong*, Wuneng Zhou, Finite-time stochasticboundedness for Markovian jumping systems via the sliding mode control[J], Journalof the Franklin Institute, 2022, 359(10): 4678-4698. DOI:10.1016/j.jfranklin.2022.05.005. (SCI) (IDS : 2K0TD) (ISSN:0016-0032)

[70] RenleiZhang,  Qiaoyu Chen*, Dongbing Tong*,Wuneng Zhou*. Exponential synchronization of stochasticcoupled neural networks with Markovian switching via event-triggered control.[J]. International Journal of Robust and Nonlinear Control, 2022,32(18), 10215-10233. DOI: 10.1002/rnc.6379. (SCI) (IDS: 6A4IY) (ISSN:1049-8923)

[69]Xiang Liu, Dongbing Tong*,Qiaoyu Chen*, Wuneng Zhou, Shigen Shen. Observer-basedadaptive funnel dynamic surface control for nonlinear systems with unknowncontrol coefficients and hysteresis input [J]. NeuralProcessing Letters, 2022, 54(6), 4681-4710. DOI:10.1007/s11063-022-10827-4. (SCI) (IDS: 1K1TK) (ISSN:1370-4621)

[68]Ben Ma, Dongbing Tong*,Qiaoyu Chen, Wuneng Zhou, Yunbing Wei. Finite-time synchronization of multi-weightedfractional-order coupled neural networks with fixed and adaptive couplings[J].International Journal of Adaptive Control and Signal Processing, 2022, 36(10),2364-2382. DOI: 10.1002/acs.3460. (SCI) (IDS : 2I3QL) (ISSN:0890-63273)

[67] YuhengWei, Dongbing Tong*, Qiaoyu Chen, Yuqing Sun, WunengZhou. Simultaneous actuator and sensor fault estimation for neutral-typesystems via intermediate observer[J]. Transactions of the Institute ofMeasurement Control, 2022, 44(7): 1505-1517. DOI:10.1177/01423312211058561.(SCI) (IDS : ZQ9CL)(ISSN: 0142-3312)

[66]陈巧玉, 周武能, 戚建明, 童东兵*. 涉及例外函数列的正规定则[J]. 复旦学报(自然科学版), 2022, 61(02): 196-204. DOI: 10.15943/j.cnki.fdxb-jns.2022.02.012.(ISSN: 0427-7104)

[65] 陆丹旎, 童东兵*, 陈巧玉, 周武能. 事件触发下马尔可夫跳跃神经网络的随机同步 [J]. 控制理论与应用, 2022, 39(2): 255-262. DOI:10.7641/CTA.2021.00044. (EI) (ISSN: 1000-8152)

[64] 黄圆, 魏云冰, 童东兵,. 基于WPD和双重注意力机制TCN的短期电价预测[J]. 电工电能新技术, 2022, 41(6): 80-88. DOI:10.12067/ATEEE2108046. (ISSN: 1003-3076)

 

 

2021

[63]Cong Xu, Dongbing Tong*, Qiaoyu Chen, Wuneng Zhou, PengShi. Exponential stability of Markovian jumping systems via adaptive slidingmode control[J]. IEEE Transactions on Systems, Man, and Cybernetics:Systems, 2021, 51(2), 954-964. DOI: 10.1109/TSMC.2018.2884565. (SCI) (IDS: PT5ZH) (ISSN: 2168-2216)高倍引论文

[62]Xiang Liu, Dongbing Tong*, Qiaoyu Chen*, Wuneng Zhou, KailiLiao. Observer-based adaptive NN tracking control for nonstrict-feedbacksystems with input saturation [J]. Neural Processing Letters,2021, 53(5), 3753-3781. DOI: 10.1007/s11063-021-10575-x.(SCI) (IDS: TH8JQ) (ISSN:1370-4621)

[61]Danni Lu, Dongbing Tong*, Qiaoyu Chen*, Wuneng Zhou, JunZhou, Shigen Shen. Exponential synchronization of stochastic neural networkswith time-varying delays and Lévy noises via event-triggered control[J]. NeuralProcessing Letters, 2021, 53(3): 2175-2196. DOI:10.1007/s11063-021-10509-7. (SCI) (IDS: RK1IF) (ISSN: 1370-4621)

[60] QiaoyuChen, Dongbing Tong*, Wuneng Zhou*, Yuhua Xu, JinpingMou. Exponential stability using sliding mode control for stochasticneutral-type systems[J].  Circuits, Systems, and SignalProcessing, 2021, 40(4): 2006-2024. DOI: 10.1007/s00034-020-01566-9. (SCI)(IDS: QV2VY) (ISSN: 0278-081X)

[59] ZhiyongZhou, Dongbing Tong*, Qiaoyu Chen*, Wuneng Zhou,Yuhua Xu. Adaptive NN control for nonlinear systems with uncertainty based ondynamic surface control[J]. Neurocomputing, 2021,421:161-172. DOI: 10.1016/j.neucom.2020.09.026. (SCI) (IDS: OW8AJ) (ISSN:0925-2312)

[58] YuRao, Dongbing Tong*, Qiaoyu Chen, Wuneng Zhou, Yuhua Xu. Synchronization of chaotic Lur'e systems with time-delays viaquantized output feedback control[J]. Transactions of the Institute ofMeasurement and Control, 2021, 43(4): 933-944. DOI:10.1177/0142331220950864. (SCI) (IDS : NK7MP) (ISSN: 0142-3312)

[57] 魏宇恒, 童东兵*, 陈巧玉. 基于中间观测器的非线性系统的故障估计[J]. 应用数学和力学, 2021, 42(11): 1213-1220. DOI: 10.21656/1000-0887.410335.  (CSCD) (ISSN: 1000-0887)

[56] 刘祥童东兵*, 陈巧玉. 基于观测器的非严格反馈时滞非线性系统的神经网络自适应控制[J]. 应用数学和力学, 2021, 42(6): 586-594.  DOI:10.21656/1000-0887.400325.  (CSCD) (ISSN: 1000-0887)

 

2020

[55] DongbingTong*, Cong Xu, Qiaoyu Chen, Wuneng Zhou, Yuhua Xu. Sliding modecontrol for nonlinear stochastic systems with Markovian jumping parameters andmode-dependent time-varying delays[J]. Nonlinear Dynamics, 2020,100(2): 1343-1358. DOI: 10.1007/s11071-020-05597-4. (SCI) (IDS :LI6NS) (ISSN: 0924-090X)

[54] DongbingTong*, Cong Xu, Qiaoyu Chen, Wuneng Zhou. Sliding modecontrol of a class of nonlinear systems[J]. Journal of the FranklinInstitute, 2020, 357(3): 1560-1581. DOI: 10.1016/j.jfranklin.2019.11.004(SCI) (IDS : KK8OH) (ISSN: 0016-0032)

[53] CongXu, Dongbing Tong*, Qiaoyu Chen, Wuneng Zhou, YuhuaXu. Exponential synchronization of chaotic systems with stochastic noisevia periodically intermittent control [J]. International Journal ofRobust and Nonlinear Control, 2020, 30(7): 2611-2624. DOI:10.1002/rnc.4893. (SCI) (IDS : KF6WL) (ISSN: 1049-8923)

[52]Jun Zhou, Dongbing Tong*, Qiaoyu Chen, Wuneng Zhou.Master-slave synchronization of neural networks with time-varying delays viathe event-triggered control[J]. Mathematical and Computer Modelling ofDynamical Systems, 2020, 26(4): 357-373. DOI:10.1080/13873954.2020.177756710. (SCI) (IDS : ME6YK) (ISSN: 1387-3954)

[51]Yinghao Tong, Dongbing Tong*, Qiaoyu Chen, Wuneng Zhou.Finite-time state estimation for nonlinear systems based on event-triggeredmechanism[J]. Circuits, Systems, and Signal Processing, 2020,39(7): 3737-3757. DOI: 10.1007/s00034-019-01334-4 (SCI) (IDS : LO2NR)(ISSN: 0278-081X)

[51]Chuancan Xu, Dongbing Tong*, Qiaoyu Chen, WunengZhou. Asynchronous control of T-S fuzzy chaotic systems via a unified modelusing the hidden Markov model subject to strict dissipativity[J]. OptimalControl, Applications and Methods, 2020, 41(2): 587-604. DOI:10.1002/oca.2560. (SCI) (IDS : JV0YR) (ISSN: 0143-2087)

[50]Yao Wang, Dongbing Tong*, Qiaoyu Chen, Wuneng Zhou.Exponential synchronization of chaotic systems with stochastic perturbationsvia quantized feedback control[J]. Circuits, Systems, and SignalProcessing, 2020, 39(1): 474-491. DOI: 10.1007/s00034-019-01167-1.(SCI) (IDS : KJ3RG) (ISSN: 0278-081X) 曾高引论文

[49] DongbingTong*, Qiaoyu Chen, Wuneng Zhou,  Yuhua Xu. Adaptive stateestimation of Markov switched neural networks driven by Lévy noise[J]. Transactionsof the Institute of Measurement and Control, 2020, 42(2): 330-336. DOI:10.1177/0142331219869472. (SCI) (IDS : IW0BN) (ISSN: 0142-3312)

[48] 佟英浩童东兵*, 陈巧玉, 周武能. 事件触发驱动的非线性系统有限时间状态估计器设计[J]. 应用数学和力学, 2020, 41(6):669-678.  DOI:10.21656/1000-0887.400210.  (CSCD)

[47]闫雪超, 童东兵*, 陈巧玉. 一种改进的机器人路径优化算法[J]. 传感器与微系统, 2020, 39(02): 109-112. DOI:10.13873/j.1000-9787(2020)02-0109-04.

 

2019

[46] DongbingTong*, Qiaoyu Chen, Wuneng Zhou, Jun Zhou, Yuhua Xu.Multi-delay-dependent exponential synchronization for neutral-type stochasticcomplex networks with Markovian jump parameters via adaptive control[J]. NeuralProcessing Letters, 2019, 49(3):1611-1628.  (SCI) (IDS :IT9NK) (ISSN: 1370-4621)

[45] QiaoyuChen, Dongbing Tong*. Normal functions concerningderivatives and shared sets[J]. Boletín de la Sociedad MatemáticaMexicana, 2019, 25(3):589-596. DOI: 10.1007/s40590-018-0210-1.(IDS : JT4UW) (ISSN: 1405-213X)

[44] XuechaoYan, Dongbing Tong*, Qiaoyu Chen, Wuneng Zhou, Yuhua Xu.Adaptive state estimation of stochastic delayed neural networks with fractionalBrownian motion[J]. Neural Processing Letters, 2019, 50(2):2007-2020.  DOI:10.1007/s11063-018-9960-z. (SCI) (IDS: JF0YI) (ISSN: 1370-4621)

[43] QiaoyuChen, Dongbing Tong*, Wuneng Zhou, Yuhua Xu.Adaptive exponential state estimation for Markovian jumping neural networkswith multi-delays and Lévy noises[J].  Circuits, Systems, andSignal Processing, 2019, 38(7):3321-3339. DOI: 10.1007/s00034-018-1004-4.(SCI) (IDS: IC7PH) (ISSN: 0278-081X)

[42]周军童东兵*, 陈巧玉. 基于事件触发机制带有多时变时滞的主从系统同步[J]. 应用数学和力学, 2019, 40(12):1389-1398. DOI: 10.21656/1000-0887.390152.  (CSCD)

[41] 陈巧玉, 戚建明童东兵*. 涉及导函数与分担亚纯函数的正规定则[J]. 山东大学学报(理学版), 2019, 54(4): 17-21. DOI:10.6040/j.issn.1671-9352.0.2018.180.  (CSCD)

[40] 毕灶荣童东兵陈巧玉一类基于自适应反馈控制的车辆编队研究[J]. 电子科技, 2019, 32(6):31-36+48. 

  

2018

[39] DongbingTong*, Pengchun Rao, Qiaoyu Chen, Maciej J. Ogorzalek, Xiang Li.Exponential synchronization and phase locking of a multilayerKuramoto-oscillator system with a pacemaker[J]. Neurocomputing,2018, 308, 129-137. (SCI) (IDS: GL0AB) (ISSN: 0925-2312)

[38] 杨洋童东兵*陈巧玉面向未知地图的六足机器人路径规划算法[J]. 计算机应用, 2018, 38(6):1809-1813. (CSCD)

[37] 毕灶荣童东兵陈巧玉基于快速MFCC计算的说话人识别系统的设计[J]. 电子科技, 2018, 31(4): 25-28. 

[36]Wuneng Zhou, Xianghui Zhou, Jun Yang, Jun Zhou, Dongbing Tong.Stability analysis and application for delayed neural networks driven byfractional Brownian noise[J]. IEEE Transactions on Neural Networks andLearning Systems, 2018, 29(5): 1491-1502. (SCI) (IDS: GD7YK)

[35]Xianghui Zhou, Jun Yang, Zhi Li, Dongbing TongpthMoment synchronization of Markov switched neural networks driven by fractionalBrownian noise[J]. Neural Computing and Applications, 2018,29(10): 823-836. (SCI) (IDS: GB3LA)

[34]Jun Zhou, Tingting Cai, Wuneng Zhou, Dongbing Tong.Master-slave synchronization for coupled neural networks with Markovianswitching topologies and stochastic perturbation[J]. InternationalJournal of Robust and Nonlinear Control, 2018, 28(6):2249-2263. (SCI) (IDS: FY7AG) (ISSN: 1049-8923)

[33]Yuhua Xu, Wuneng Zhou, Hongqian Lu, Chengrong Xie, Dongbing Tong.Adaptive finite-time synchronization of neutral type dynamical network withdouble derivative coupling[J]. Neural Processing Letters, 2018,48(2): 1175-1186. (SCI) (IDS: GV9SU) (ISSN: 1370-4621)

 

2017

[32] DongbingTong*, Qiaoyu Chen. Delay and its time-derivative-dependent modelreduction for neutral-type control system[J]. Circuits, Systems, andSignal Processing, 2017, 36(6), 2542-2557. (SCI) (ISSN:0278-081X)

[31]Yuhua Xu, Wuneng Zhou, Jincheng Zhang, Wen Sun, Dongbing Tong.Topology identification of complex delayed dynamical networks with multipleresponse systems[J]. Nonlinear Dynamics, 2017, 88(4):2969-2981. (SCI)

[30]Xianghui Zhou, Jun Yang, Zhi Li, Wuneng Zhou, Dongbing Tong.Stability analysis based on partition trajectory approach for switched neuralnetworks with fractional Brown noise disturbance[J]. InternationalJournal of Control, 2017, 90(10): 2165-2177. (SCI)

[29]Yuhua Xu, Jincheng Zhang, Wuneng Zhou, Dongbing Tong.Finite-time bounded synchronization of the growing complex network withnondelayed and delayed coupling[J]. Discrete Dynamics in Nature andSociety, 2017, 6501583. https://doi.org/10.1155/2017/6501583. (SCI)

[28]Yuhua Xu, Jincheng Zhang, Wuneng Zhou, Dongbing Tong.Adaptive synchronization of complex dynamical networks with bounded delayfeedback controller[J]. Optik-International Journal for Light andElectron Optics, 2017, 131: 467-474. (SCI)

  

2016

[27] DongbingTong*, Liping Zhang,Wuneng Zhou, Jun Zhou, and Yuhua Xu. Asymptoticalsynchronization for delayed stochastic neural networks with uncertainty viaadaptive control[J]. International Journal of Control, Automation andSystems, 2016, 14(3): 706-712. (SCI) (ISSN: 1598-6446)

[26] Jun Zhou, Xiangwu Ding,Liuwei Zhou, Wuneng Zhou, Jun Yang, DongbingTong. Almostsure adaptive asymptotically synchronization for neutral-type multi-slaveneural networks with Markovian jumping parameters and stochasticperturbation[J]. Neurocomputing, 2016, 214: 44-52. (SCI)

[25]Yuhua Xu, Wuneng Zhou, Jian'an Fang, Chengrong Xie, DongbingTong.Finite-time synchronization of the complex dynamical network withnon-derivative and derivative coupling[J]. Neurocomputing, 2016,173: 1356-1361. (SCI)

  

2015

[24] DongbingTong*, Wuneng Zhou, Xianghui Zhou, Jun Yang, Liping Zhang, Yuhua Xu.Exponential synchronization for stochastic neural networks with multi-delayedand Markovian switching via adaptive feedback control[J]. Communicationsin Nonlinear Science and Numerical Simulation, 2015, 29, 359-371.(SCI) (ISSN: 1007-5704) 曾高倍引论文

[23] DongbingTong*, Wuneng Zhou, Han Wang, Jun Zhou, Xianghui Zhou, Yuhua Xu.Adaptive estimation for delayed neural networks with Markovian jumpingparameters[J]. Optik, 2015, 126, 2960-2964. (SCI) (ISSN:0030-4026)

[22]Chengrong Xie, Yuhua Xu, Shengyin Meng, Dongbing Tong,Anding Dai. Distributed consensus of multi-agent systems using distributed timedelayed protocols[J]. Optik-International Journal for Light andElectron Optics, 2015, 126(23): 3901-3905. (SCI)

[21]Chengrong Xie, Yuhua Xu, Dongbing Tong. Chaossynchronization of financial chaotic system with externalperturbation[J]. Discrete Dynamics in Nature and Society, 2015,731376. DOI: 10.1155/2015/731376. (SCI)

  

2014

[20] DongbingTong*, Wuneng Zhou, Han Wang. Exponential state estimation forstochastic complex dynamical networks with multi-delayed base on adaptivecontrol[J]. International Journal of Control, Automation, and Systems,2014, 12(5), 963-968. (SCI) (ISSN: 1598-6446)

[19] DongbingTong*, Wuneng Zhou, Anding Dai, Han Wang, Xiaozheng Mou, Yuhua Xu.H∞ model reduction for the distillation column linear system[J]. Circuits,Systems & Signal Processing, 2014, 33, 3287-3297. (SCI) (ISSN:0278-081X)

[18]Qingyu Zhu, Wuneng Zhou, Liuwei Zhou, Mingqi Wu, DongbingTong.Mode-dependent projective synchronization for neutral-type neural networks withdistributed time-delays[J]. Neurocomputing, 2014, 140:97-103. (SCI)

[17]Chengrong Xie, Yuhua Xu, Dongbing Tong. Synchronization oftime varying delayed complex networks via impulsive control[J]. Optik-InternationalJournal for Light and Electron Optics, 2014, 125(15):3781-3787. (SCI)

[16]Xueling Jiang, Shuijie Qin, Dongbing Tong, Liping Wang.Adaptive asymptotical synchronization for stochastic complex networks withtime-delay and Markovian switching[J]. Mathematical Problems inEngineering, 2014, 564058. DOI: 10.1155/2014/564058. (SCI)

[15]Wuneng Zhou, Anding Dai, Dongbing Tong, Jun Yang.Exponential synchronization of stochastic complex dynamical networks withimpulsive perturbations and Markovian switching[J]. MathematicalProblems in Engineering, 2014, 927858. DOI:10.1155/2014/927858. (SCI)

[14]Yuhua Xu, Chengrong Xie, Dongbing Tong. Adaptivesynchronization for dynamical networks of neutral type withtime-delay[J]. Optik-International Journal for Light and ElectronOptics, 2014, 125(1): 380-385. (SCI)

  

2013

[13] DongbingTong, Wuneng Zhou, Yan Gao, Chuan Ji, and Hongye Su. H∞ modelreduction for port-controlled Hamiltonian systems[J]. AppliedMathematical Modelling, 2013, 37(5), 2727-2736. (SCI). (ISSN:0307-904X)

[12] DongbingTong*, Qingyu Zhu, Wuneng Zhou, Yuhua Xu, Jian'an Fang. Adaptivesynchronization for stochastic T-S fuzzy neural networks with time-delay andMarkovian jumping parameters[J]. Neurocomputing, 2013, 117,91-97. (SCI) 曾高倍引论文

[11]Qingyu Zhu, Wuneng Zhou, Dongbing Tong, Jian'an Fang.Adaptive synchronization for stochastic neural networks of neutral-type withmixed time-delays[J]. Neurocomputing, 2013, 99:477-485. (SCI) 曾高倍引论文

[10]Wuneng Zhou, Chuan Ji, Jinping Mou, Dongbing Tong, YanGao. Adaptive target synchronization for wireless sensor networks with Markovdelays and noise perturbation[J]. International Journal of Control,Automation and Systems, 2013, 11(5): 919-925. (SCI)

[9]Wuneng Zhou, Yan Gao, Dongbing Tong, Chuan Ji, Jian'anFang. Adaptive exponential synchronization in pth moment ofneutral-type neural networks with time delays and Markovian switching[J]. InternationalJournal of Control, Automation and Systems, 2013, 11(4):845-851. (SCI)

[8]Yuhua Xu, Hongzheng Yang, Dongbing Tong, Yuling Wang.Adaptive exponential synchronization in pth moment for stochastictime varying multi-delayed complex networks[J]. Nonlinear Dynamics,2013, 73(3): 1423-1431. (SCI)

[7]Chengrong Xie, Yuhua Xu, Dongbing Tong. Mean squaresynchronization of stochastic nonlinear delayed coupled complexnetworks[J]. Discrete Dynamics in Nature and Society, 2013,914140. DOI: 10.1155/2013/914140. (SCI)

[6]Xiangwu Ding, Yan Gao, Wuneng Zhou, Dongbing Tong, HongyeSu. Adaptive almost surely asymptotically synchronization for stochasticdelayed neural networks with Markovian switching[J]. Advances inDifference Equations, 2013, 2013(1): 211. DOI:10.1186/1687-1847-2013-211. (SCI)

[5]Jinping Mou, Wuneng Zhou, Tianbo Wang, Chuan Ji, Dongbing Tong.Consensus of the distributed varying scale wireless sensor networks[J]. MathematicalProblems in Engineering, 2013, 862518. DOI:10.1155/2013/862518. (SCI)

  

2012

[4]Wuneng Zhou, Dongbing Tong*, Yan Gao, Chuan Ji, andHongye Su. Mode and delay-dependent adaptive exponential synchronizationin pth moment for stochastic delayed neural networks withMarkovian switching[J]. IEEE Transactions on Neural Networks andLearning Systems, 2012, 23(4), 662-668. (SCI)  曾高倍引论文

[3]Yan Gao, Wuneng Zhou, Chuan Ji, Dongbing Tong, Jian'anFang. Globally exponential stability of stochastic neutral-type delayed neuralnetworks with impulsive perturbations and Markovian switching[J]. NonlinearDynamics, 2012, 70(3): 2107-2116. (SCI)

  

2011

[2] WunengZhou, Dongbing Tong, Hongqian Lu, Qingchang Zhong,Jian'an Fang. Time-delay dependent H∞ model reduction for uncertainstochastic systems: continuous-time case[J]. Circuits, Systems, andSignal Processing, 2011, 30(5): 941-961. (SCI)

[1]Hongqian Lu, Wuneng Zhou, Yuhua Xu, Jian'an Fang, Dongbing Tong.Time-delay dependent H∞ model simplification for singular systems withMarkovian jumping parameters[J]. Optimal Control Applications andMethods, 2011, 32(4): 379-395. (SCI)

  

专利:

[1] 周武能段学闯童东兵王新厚一种自调匀整系统的自适应控制方法[P], 中国: ZL 2011 1 0169010.4. 2013-07-24. (发明专利)

[2] 毕灶荣童东兵陈巧玉一种可检测气味的智能浴缸及方法[P], 中国:CN 106994004A. 2017. (发明专利)

[3] 毕灶荣童东兵陈巧玉一种用于道路盲区的提示装置及方法[P], 中国:CN 107161078A. 2017. (发明专利)

[4] 闫雪超童东兵陈巧玉一种输油管道检测维护多足机器人[P], 中国: ZL201820884415.3. 申请: 2018-06-18,授权: 2019-03-12. (实用新型专利)

[5] 徐聪童东兵陈巧玉毕灶荣一种基于虹膜识别的超市存储柜[P], 中国:ZL201920499079.5. 申请:2019-04-12,授权: 2019-11-12. (实用新型专利)

[6] 王尧童东兵陈巧玉一种电动汽车充电车库[P], 中国:ZL201920492377.1. 申请:2019-04-12,授权: 2020-02-18. (实用新型专利)

[7]饶宇童东兵, 陈巧玉, 汤子麟. 一种具有提醒功能的防遗忘智能雨伞夹具[P], 中国: ZL201921687732.7. 申请: 2019-10-10,授权: 2020-06-26. (实用新型专利)

 

  

专著和教材:

[1]Wuneng Zhou, Liuwei Zhou, Jun Yang, Dongbing Tong.Stability and synchronization control of stochastic neural networks[M]. Berlin:Springer, 2016.

[2] 周武能童东兵代安定石红瑞线性系统基础理论[M], 西安: 西安电子科技大学出版社, 2014.01. 

[3] 童东兵陈巧玉计算机控制系统基础[M], 西安:西安电子科技大学出版社, 2019.03.

  

荣誉与奖励:

[1] 201403月,获得上海市优秀毕业生

[2] 201507月,获得东华大学优秀博士论文

[3] 201509月,入选上海工程技术大学展翅计划人才计划

[4] 201606月,获得上海工程技术大学优秀学位论文指导教师(学生:杨勇)

[5] 201701月,获得bwin必赢科研贡献奖

[6] 201706月,获得上海工程技术大学优秀学位论文指导教师(学生:孙旭晨)

[7] 201711月,获得上海市教育委员会第五届上海大学生创新创业论坛优秀创新报告奖

[8] 201806月,获得上海工程技术大学优秀学位论文指导教师(学生:吴依伦)

[9] 201807月,获得上海工程技术大学优秀青年教师

[10] 201905月,获得上海工程技术大学优秀学位论文指导教师(学生:柴国庆)

[11] 201912月,获得bwin必赢“本科生竞赛指导奖”

[12] 202012月,获得bwin必赢“科研先锋”

[13] 202012月,获得bwin必赢“高水平论文之星”

[14] 202105月,获得上海工程技术大学优秀学位论文指导教师(学生:李明朗)

[15] 202105月,获得2020年度上海市自然科学二等奖(排名第三)

[16] 202206月,获得上海工程技术大学优秀学位论文指导教师(学生:王茂鑫)

[17] 202306月,获得上海工程技术大学优秀学位论文指导教师(学生:罗杨亚星)

[18] 202410月,获得中国智能系统会议-2024年度最具影响力学术团队

 

 

指导的学生获得竞赛奖励:

[1] 20175月,获得全国大学生英语竞赛(NECCS)三等奖(学生:吕秉略)

[2] 20175月,获得全国大学生英语竞赛(NECCS)三等奖(学生:祁汝�[)

[3] 20178月,获得教育部2017年第十一届西门子杯中国智能制造挑战赛华东赛二等奖(学生:吕秉略)

[4] 20178月,获得教育部2017年第十一届西门子杯中国智能制造挑战赛全国二等奖(学生:闫雪超)

[5] 20198月,获得教育部2019年第十三届西门子杯中国智能制造挑战赛全国初赛一等奖(学生:周智勇)

[6] 20198月,获得教育部2019年第十三届西门子杯中国智能制造挑战赛全国初赛二等奖(学生:周军)

[7] 20218月,获得教育部2021年第十五届西门子杯中国智能制造挑战赛全国初赛二等奖(学生:鞠金朋)

[8] 20228月,获得教育部2022年第十六届西门子杯中国智能制造挑战赛全国初赛二等奖(学生:张鼓帆)

[9] 20228月,获得教育部2022年第十六届西门子杯中国智能制造挑战赛全国初赛二等奖(学生:翟国庆)

[10] 20238月,获得教育部2023年第十七届西门子杯中国智能制造挑战赛全国初赛三等奖(学生:王轩)

[11] 20238月,获得教育部2023年第十七届西门子杯中国智能制造挑战赛全国初赛三等奖(学生:朱国良)

[12] 20248月,获得教育部2024年第十八届西门子杯中国智能制造挑战赛全国初赛二等奖(学生:李鸿宇、刘恒磊)

[13] 20248月,获得教育部2024年第十八届西门子杯中国智能制造挑战赛全国初赛三等奖(学生:江勤杰)

[14] 20248月,获得教育部2024年第十八届西门子杯中国智能制造挑战赛全国初赛三等奖(学生:陈寒蕊)

 

 

招生:

本课题组招收具有自动化、电气、通信、信息和数学等专业背景的硕士研究生。工作和读博都可,能推荐到新加坡南洋理工大学、澳大利亚阿德莱德大学、上海交通大学、复旦大学、上海大学、东华大学等国内外院校攻读博士研究生。如有咨询,请通过邮件联系tongdongbing@163.com

 

 

联系方式:

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