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宋永端 教授
发布时间:2021-06-09 15:29:02 来源:本站



宋永端,教授/博导,IEEE Fellow, 国际欧亚科学院院士,注册职业工程师(美国),美国教师名人录,中国自动化学院常务理事,重庆大学智慧工程研究院负责人。1992年获美国田纳西理工大学电气及计算机工程博士学位。

教育背景

1979-1983  四川大学,工学学士

1983-1986  重庆大学,工学硕士

1987-1989  北京航空航天大学,博士研究生

1989-1990  University of Newcastle, Australia, 博士研究生

1990-1992  Tennessee Technological University, 博士

专业领域:

机器人及智能系统, 控制理论与控制工程

主要研究方向:

智能控制、容错控制、自适应协调控制、飞行器导航与控制、可再生能源系统、机器人及智能无人系统、群体智能系统、仿生智能控制系统,协调控制理论及其应用,复杂系统主动安全预警与控制

主讲课程:

主讲中、英文本科,硕士及博士课程20多门,涵盖控制理论及应用,导航与制导,空气动力学,仿生控制系统,风电系统监测与控制,协调系统控制等。

学术兼职和荣誉:

现(曾)任多部国际学术期刊Associate Editor,包括:

· IEEE Trans. on Automatic Control

· IEEE Trans. on Neural Networks and Learning Systems

· IEEE Trans. on Intelligent Transportation Systems

· IEEE Trans. on Systems, Man and Cybernetics

· IEEE Trans. on Developmental and Cognitive Systems

· IET Control Theory and Applications

· Int. J. of Structural Health Monitoring

· Int. J. of Bionic Engineering

· Optimal Control Applications and Methods

科研情况简介:

先后主持国家自然科学基金、973计划、863 计划等国家级科研项目/课题20余项,取得系列重要理论创新和应用创新成果,相关成果发表在 IEEE Trans. on Automatic Control,Automatica, IEEE Trans. on Neural Networks and Learning Systems,IEEE Trans. on Cybernetics 等国际控制及人工智能领域顶级期刊上。宋教授创建了“星际(重庆)智能装备技术研究院”,创建了国际电气电子工程师学会IEEE重庆计算智能分会并担任首任主席,任中国自动化学会常务理事,重庆市智能物联网产业联盟技术委员会第一副主任,重庆市智能机器人联盟副理事长。指导本科生参加科技竞赛获国家级奖励 1 项、省部级奖励 2 项。指导学生获得“第 12 届全球智能控制与自动化大会”最佳学生论文奖 1 人。培养了一批优秀青年人才,包括中组部青年拔尖人才,中国自动化学会优秀博士,重庆市优秀博士等。2018 年获“中国第七届侨界贡献奖”一等奖,2018年获“中国指挥与控制学会科学技术奖”一 等奖,2019年获“重庆市自然科学”二等奖,2020 年获“教育部自然科学”二等奖等。发表重要学术论文200余篇(SCI检索),授权发明专利50余项。

论文及专著:

(一) 专著

1.    J. Huang and Y. D. Song, Distributed and Adaptive Fault-tolerant Control, CRC Publisher, Taylor & Francisco, Inc. 2018

2.    G. Fang, C. Y. Wen and Y. D. Song, Distributed optimization on smart grid, Springer, 2017

3.    Y. D. Song and Y. J. Wang, Cooperative Control Nonlinear Networked Systems, Springer, 2018

4.    Y. D. Song, Control of Nonlinear Systems via PI/PD/PID – stability and performance, CRC Publisher, Taylor & Francisco, Inc. 2019

5.    宋永端,人工智能基础及应用,清华大学出版社,2021

6.    宋永端、李丹勇等, 移动机器人及其自主化技术,机械工业出版社,2011

7.   宋永端、李鹏等,风力发电及控制系统,电子工业出版社,2012

8.    王磊、宋永端,风电系统容错控制,科学出版社,2017

9.    宋永端,工业机器人系统及先进控制,科学出版社,2019

10.  宋永端、谢昭莉等,自动控制原理(Ⅰ),机械工业出版社,2020

11.  宋永端、马铁东等,自动控制原理(Ⅱ),机械工业出版社,2020

(二)论文(选录)

[1] Jie Mei, Wei Ren and Yongduan Song, “A Unified Framework for Adaptive Leaderless Consensus of Uncertain Multi-agent Systems under Directed Graphs’’, IEEE Transactions on Automatic Control, DOI: 10.1109/TAC.2021.3062594, 2021.

[2] Gang Chen, Qing Yang, Yongduan Song, and Frank Lewis, “Fixed-time Projection Algorithm for Distributed Constrained Optimization on Time-Varying Digraphs”, IEEE Transactions on Automatic Control, DOI: 10.1109/TAC.2021.3056233, 2021.

[3] Gang Chen, Qing Yang, Yongduan Song, and Frank L. Lewis, “A Distributed Continuous-time Algorithm for Nonsmooth Constrained Optimization”, IEEE Transactions on Automatic Control, DOI: 10.1109/TAC.2020.2965905, 2020.

[4] Zhirong Zhang, Yongduan Song*, and Changyun Wen, “Adaptive Decentralized Output-feedback Control Dealing with Static/Dynamic Interactions and Different-unknown Subsystem Control Directions”, IEEE Transactions on Automatic Control, DOI: 10.1109/TAC.2020.3028563, 2020.

[5] Kai Zhao, Yongduan Song*, “Removing the Feasibility Conditions Imposed on Tracking Control Designs for State-constrained Strict-feedback Systems”, IEEE Transactions on Automatic Control, Vol. 64, No. 3, pp 1265-1272, 2019/3.

[6] Xiucai Huang, Hassan K. Khalil, and Yongduan Song*, “Regulation of Nonminimum-phase Nonlinear Systems using Slow Integrators and High-gain Feedback”, IEEE Transactions on Automatic Control, Vol. 64, No. 2, pp 640-653, 2019/2.

[7] Peng Wang, Peng Lin, Wei Ren, and Yongduan Song, “Distributed Subgradient-based Multiagent Optimization with More General Step Sizes”, IEEE Transactions on Automatic Control, Vol. 63, No. 7, pp 2295-2302, 2018/7.

[8] Yongduan Song*, Kai Zhao, and Miroslav Krstic, “Adaptive Control with Exponential Regulation in the Absence of Persistent Excitation”, IEEE Transactions on Automatic Control, Vol. 62, No. 5, pp 2589-2596, 2017/4.

[9] Yongduan Song*, Yujuan Wang, and Changyun Wen, “Adaptive Fault-tolerant PI Tracking Control with Guaranteed Transient and Steady-state Performance”, IEEE Transactions on Automatic Control, Vol. 62, No. 1, pp 481-487, 2017/1.

[10] Frank L. Lewis, Bing Cui, Tiedong Ma, Yongduan Song, and Chunhui Zhao, “Heterogeneous Multi-agent Systems: Reduced-order Synchronization and Geometry”, IEEE Transactions on Automatic Control, Vol. 61, No. 5, pp 1391-1396, 2016/5.

[11] Xiaojie Su, Peng Shi, Ligang Wu, and Yongduan Song, “Fault Detection Filtering for Nonlinear Switched Stochastic Systems”, IEEE Transactions on Automatic Control, Vol. 61, No. 5, pp 1310-1315, 2016/5.

[12] Yongduan Song*, Xiucai huang, and Changyun Wen, “Tracking Control for a Class of Unknown Nonsquare MIMO Nonaffine Systems: A Deep-rooted Information based Robust Adaptive Approach”, IEEE Transactions on Automatic Control, Vol. 61, No. 10, pp 3227-3233, 2016.

[13] Yongduan Song*, T. Mitchell, and Y. H. Lai, “Control of a Class of Nonlinear Uncertain Systems via Compensated Inverse Dynamics Approach”, IEEE Transactions on Automatic Control, Vol. 39, No. 9, pp 1866-1871, 1994/9.

[14] Yongduan Song*, and R. H. Middleton, “Dealing with Time-varying Parameter Problem of Robot Manipulators Performing Path Tracking Tasks”, IEEE Transactions on Automatic Control, Vol. 37, No. 10, pp 1597-1601, 1992/10.

[15] Kai Zhao, Yongduan Song*, and C. L. Philip Chen, “Control of Nonlinear Systems under Dynamic Constraints: a Unified Barrier Function-based Approach”, Automatica, DOI: 10.1016/j.automatica.2020.109102, 2020.

[16] Xiucai Huang, Yongduan Song*, and Changyun Wen, “Output Feedback Control for Constrained Pure-feedback Systems: A Non-recursive and Transformational Observer based Approach”, Automatica, DOI: 10.1016/j.automatica.2019.108789, 2020.

[17] Ye Cao, Yongduan Song*, and Changyun Wen, “Practical Tracking Control of Perturbed Uncertain Nonaffine Systems with Full State Constraints”, Automatica, DOI: 10.1016/j.automatica.2019.108608, 2019.

[18] Kai Zhao, Yongduan Song*, and Zhirong Zhang, “Tracking Control of MIMO Nonlinear Systems under Full State Constraints: A Single-parameter Adaptation Approach Free from Feasibility Conditions”, Automatica, Vol.107, pp 52-60, 2019/9.

[19] Yujuan Wang, Yongduan Song*, “A General Approach to Precise Tracking of Nonlinear Systems Subject to Non-vanishing Uncertainties”, Automatica, Vol.106, pp 306-314, 2019/8.

[20] Rui Li, Yingjing Shi, and Yongduan Song, “Localization and circumnavigation of multiple agents along an unknown target based on bearing-only measurement: A three dimensional solution”, Automatica, Vol. 94, pp 18-25, 2018/8.

[21] Yujuan Wang, Yongduan Song*, “Leader-following Control of High-order Multi-agent Systems under Directed Graphs: Pre-specified Finite Time Approach”, Automatica, Vol. 87, pp 113-120, 2018/1.

[22] Xiaojie Su, Xinxin Liu, Peng Shi, and Yongduan Song, “Sliding Mode Control of Hybrid Switched Systems via an Event-triggered Mechanism”, Automatica, Vol. 90, pp 294-303, 2018/4.

[23] Shan Zuo, Yongduan Song*, F. L. Lewis, and A. Davoudi, “Adaptive Output Containment Control of Heterogeneous Multi-agent Systems with Unknown Leaders”, Automatica, Vol.92, pp 235-239, 2018/6.

[24] Yongduan Song*, Yujuan Wang, John Holloway, and Miroslav Krstic, “Time-varying Feedback for Regulation of Normal-form Nonlinear Systems in Prescribed Finite Time”, Automatica, Vol. 83, pp 243-251, 2017/9.

[25] Yongduan Song*, Beibei Zhang, and Kai Zhao, “Indirect Neuroadaptive Control of Unknown MIMO Systems Tracking Uncertain Target under Sensor Failures”, Automatica, Vol. 77, pp 103-111, 2017/3.

[26] Jiangshuai Huang, Yongduan Song, Wei Wang, Changyun Wen, and Guoqi Li, “Smooth Control Design for Adaptive Leader-following Consensus Control of a Class of High-order Nonlinear Systems with Time-varying Reference”, Automatica, Vol. 83, pp 361-367, 2017/9.

[27] Fanghong Guo, ChangyunWen, Jianfeng Mao, Guoqi Li, and Yongduan Song, “A Distributed Hierarchical Algorithm for Multi-cluster Constrained Optimization”, Automatica, Vol. 77, pp 230-238, 2017/3.

[28] Jiangshuai Huang, Changyun Wen, Wei Wang, and Yongduan Song, “Design of Adaptive Finite-time Controllers for Nonlinear Uncertain Systems based on Given Transient Specifications”, Automatica, Vol. 69, pp 395-404, 2016/7.

[29] Sheida Ghapani, Jie Mei, Wei Ren, and Yongduan Song, “Fully Distributed Flocking with a Moving Leader for Lagrange Networks with Parametric Uncertainties”, Automatica, Vol. 67, pp 67-76, 2016/5.

[30] Peng Lin, Wei Ren, and Yongduan Song, “Distributed Multi-agent Optimization Subject to Nonidentical Constraints and Communication Delays”, Automatica, Vol. 65, pp 120-131, 2016/3.

[31] Jiangshuai Huang, Changyun Wen, Wei Wang, and Yongduan Song, “Adaptive Finite-time Consensus Control of a Group of Uncertain Nonlinear Mechanical Systems”, Automatica, Vol. 51, pp: 292-301, 2015.

[32] Xiaojie Su, Ligang Wu, Peng Shi, and Yongduan Song, “A Novel Approach to Output Feedback Control of Fuzzy Stochastic Systems”, Automatica, Vol. 50, pp 3268-3275, 2014/12.

[33] Yujuan Wang, and Yongduan Song*, Miroslav Krstic, and Changyun Wen, “Fault-tolerant Finite Time Consensus for Multiple Uncertain Nonlinear Mechanical Systems under Single-way Directed Communication Interactions and Actuation Failures”, Automatica, Vol. 63, pp 374-383, 2016/1.

[34] Sheida Ghapania, Wei Ren, Fei Chen, and Yongduan Song, “Distributed Average Tracking for Double-integrator Multi-agent Systems with Reduced Requirement on Velocity Measurements”, Automatica, Vol.81, pp 1-7, 2017/7.

[35] Qian Cui, and Yongduan Song*, “Adaptive Fault-tolerant Control of Nonlinear Systems under Multiple Objective Constraining Functions with Application to Tire Production Line”, IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2020.2967150, 2020.

[36] Fu Wei Cui, Qian Cui, and Yongduan Song*, “A Survey on Learning based Approaches for Human-machine Dialogue System Modeling and Classification”, IEEE Transactions on Neural Networks and Learning Systems, Vol. 32, No. 4, pp. 1418-1432, 2020.

[37] Yongduan Song*, Liu He, Dong Zhang, Jiye Qian, and Jin Fu, “Neuroadaptive Fault-Tolerant Control of Quadrotor UAVs: A More Affordable Solution”, IEEE Transactions on Neural Networks and Learning Systems, Vol. 30, No. 7, pp 1975-1983, 2019/7.

[38] Shuyan Zhou, and Yongduan Song*, “Neuroadaptive Control Design for Pure-Feedback Nonlinear Systems: A One-Step Design Approach”, IEEE Transactions on Neural Networks and Learning Systems, Vol. 31, No. 9, pp 3389-3399, 2019/11.

[39] Hao Shen, Ting Wang, Jinde Cao, Guoping Lu,  Yongduan Song, and Tingwen Huang, “Nonfragile Dissipative Synchronization for Markovian Memristive Neural Networks: A Gain-Scheduled Control Scheme”, IEEE Transactions on Neural Networks and Learning Systems, Vol. 30, No. 6, pp 1841-1853, 2019/6.

[40] Xiucai Huang,  Yongduan Song*, and Junfeng Lai, “Neuro-adaptive Control with Given Performance Specifications for Strict Feedback Systems under Full-state Constraints”, IEEE Transactions on Neural Networks and Learning Systems, Vol. 30, No. 1, pp 25-34, 2019/1.

[41] Yongduan Song*, and Shuyan Zhou, “Neuroadaptive Control with Given Performance Specifications for MIMO Strict-feedback Systems Under Nonsmooth Actuation and Output Constraints”, IEEE Transactions on Neural Networks and Learning Systems, Vol. 29, No. 9, pp 4414-4425, 2018/9.

[42] Gang Chen, Yongduan Song, and Yanfeng Guan, “Terminal Sliding Mode-Based Consensus Tracking Control for Networked Uncertain Mechanical Systems on Digraphs”, IEEE Transactions on Neural Networks and Learning Systems, Vol. 29, No. 3, pp 749-756, 2018/3.

[43] Kai Zhao, Yongduan Song*, and Zhixi Shen, “Neuroadaptive Fault-tolerant Control of Nonlinear Systems under Output Constraints and Actuation Faults”, IEEE Transactions on Neural Networks and Learning Systems, Vol. 29, No. 2, pp 286-298, 2018/2.

[44] Yongduan Song*, F. L. Lewis, Marios, Danil, and Dongbin Zhao, “Guest Editorial Special Issue on New Developments in Neural Network Structures for Signal, Autonomous Decision, and Adaptive Control”, IEEE Transactions on Neural Networks and Learning Systems, Vol. 28, No. 3, pp 494-499, 2017/3.

[45] Yongduan Song*, Xiucai Huang, and Zijun Jia, “Dealing with the Issues Crucially Related to the Functionality and Reliability of NN-based Control for Nonlinear Uncertain Systems”, IEEE Transactions on Neural Networks and Learning Systems, Vol. 28, No. 11, pp 2641-2625, 2017/11.

[46] Yongduan Song*, Junxia Guo, and Xiucai Huang, “Smooth Neuroadaptive PI Tracking Control of Nonlinear Systems with Unknown and Nonsmooth Actuation Characteristics”, IEEE Transactions on Neural Networks and Learning Systems, Vol. 28, No. 9, pp 2183-2195, 2017/9.

[47] Kai Zhao, Yongduan Song*, Tiedong Ma, and Liu He, “Prescribed Performance Control of Uncertain Euler-Lagrange Systems Subject to Full-State Constraints”, IEEE Transactions on Neural Networks and Learning Systems, Vol. 29, No. 8, pp 3478-3489, 2018/8.

[48] Yujuan Wang, Yongduan Song*, and Wei Ren, “Distributed Adaptive Finite-Time Approach for Formation-Containment Control of Networked Nonlinear Systems Under Directed Topology”, IEEE Transactions on Neural Networks and Learning Systems, Vol. 29, No. 7, pp 3164-3175, 2018/7.

[49] Yujuan Wang, and Yongduan Song*, “Fraction Dynamic-surface-based Neuroadaptive Finite-Time Containment Control of Multiagent Systems in Nonaffine Pure-Feedback Form”, IEEE Transactions on Neural Networks and Learning Systems, Vol. 28, No. 3, pp 678-689, 2017/3.

[50] Zijun Jia, and Yongduan Song*, “Barrier Function-Based Neural Adaptive Control With Locally Weighted Learning and Finite Neuron Self-Growing Strategy”, IEEE Transactions on Neural Networks and Learning Systems, Vol. 28, No. 6, pp 1439-1451, 2017/6.

[51] Hui Gao,  Yongduan Song*, and Changyun Wen, “Backstepping Design of Adaptive Neural Fault-Tolerant Control for MIMO Nonlinear Systems”, IEEE Transactions on Neural Networks and Learning Systems, Vol. 28, No. 11, pp 2605-2613, 2017/11.

[52] Gang Chen, and Yongduan Song, “Cooperative Tracking Control of Nonlinear Multiagent Systems using Self-structuring Neural Networks”, IEEE Transactions on Neural Networks and Learning Systems, Vol. 25, No. 8, pp 1496-1507, 2014/8.

[53] Qi Song, and Yongduan Song*, “Data-based Fault-tolerant Control of High-speed Trains with Traction/braking Notch Nonlinearities and Actuator Failures”, IEEE Transactions on Neural Networks and Learning Systems, Vol. 22, No. 12, pp 2250-2261, 2011/12.

[54] Wei Ao, and Yongduan Song*, Changyun Wen, “Distributed Secure State Estimation and Control for CPSs under Sensor Attacks”, IEEE Transactions on Cybernetics, Vol. 50, No. 1, pp 259-269, 2020/1.

[55] Kai Zhao, and Yongduan Song*, “Neuroadaptive Robotic Control under Time-Varying Asymmetric Motion Constraints: A Feasibility-Condition-Free Approach”, IEEE Transactions on Cybernetics, Vol. 50, No. 1, pp 15-24, 2020/1

[56] Yongduan Song*, Liu He, and Yujuan Wang, “Globally Exponentially Stable Tracking Control of Self-Restructuring Nonlinear Systems.”, IEEE Transactions on Cybernetics, 2019/11 (online available).

[57] Ruijun Cheng, Wei Yu, Yongduan Song*, Dewang Chen, Xiaoping Ma, and Yu Cheng, “Intelligent Safe Driving Methods based on Hybrid Automata and Ensemble CART Algorithms for Multi-high-Speed Trains”, IEEE Transactions on Cybernetics, Vol. 49, No. 10, pp 3816-3826, 2019/10

[58] Ye Cao, Changyun Wen, and Yongduan Song*, “A Unified Event-Triggered Control Approach for Uncertain Pure-Feedback Systems With or Without State Constraints.”, IEEE Transactions on Cybernetics, 2019/7 (online available).

[59] Yujuan Wang, Yongduan Song*, David J. Hill, and Miroslav Krstic, “Prescribed-time Consensus and Containment Control of Networked Multiagent Systems”, IEEE Transactions on Cybernetics, Vol. 49, No. 4, pp 1138-1147, 2019/4.

[60] Yujuan Wang, Yongduan Song, and David J. Hill, “Zero-Error Consensus Tracking with Preassignable Convergence for Nonaffine Multiagent Systems”, IEEE Transactions on Cybernetics, 2019/3 (online available).

[61] Jiangshuai Huang, Yongduan Song*,Wei Wang, Changyun Wen, and Guoqi Li, “Fully Distributed Adaptive Consensus Control of a Class of High-Order Nonlinear Systems With a Directed Topology and Unknown Control Directions”, IEEE Transactions on Cybernetics, Vol. 48, No. 8, pp 2349-2356, 2018/8.

[62] Shan Zuo, Yongduan Song*, Frank L. Lewis, and Ali Davoudi, “Optimal Robust Output Containment of Unknown Heterogeneous Multiagent System using Off-policy Reinforcement Learning”, IEEE Transactions on Cybernetics, Vol. 48, No. 11, pp 3197-3207, 2018/11.

[63] Yongduan Song*, Ziyun Shen, Liu He, and Xiucai Huang, “Neuroadaptive Control of Strict Feedback Systems with Full-state Constraints and Unknown Actuation Characteristics: an Inexpensive Solution”, IEEE Transactions on Cybernetics, Vol. 48, No. 11, pp 3126-3134, 2017/11.

[64] Xiaojie Su, Hongying Zhou, and Yongduan Song, “An Optimal Divisioning Technique to Stabilization Synthesis of T-S Fuzzy Delayed Systems”, IEEE Transactions on Cybernetics, Vol. 47, No. 5, pp 1147-1156, 2017/5.

[65] Yujuan Wang, Yongduan Song*, and Miroslav Krstic, “Collectively Rotating Formation and Containment Deployment of Multi-agent Systems: a Polar Coordinate based Finite Time Approach”, IEEE Transactions on Cybernetics, Vol. 47, No. 8, pp 2161-2172, 2017/8.

[66] Shan Zuo, Yongduan Song*, Frank L. Lewis, and Ali. Davoudi, “Output Containment Control of Linear Heterogeneous Multi-Agent Systems using Internal Model Principle”, IEEE Transactions on Cybernetics, Vol. 47, No. 8, pp 2099-2109, 2017/8.

[67] Gang Chen, Yongduan Song, and Frank L. Lewis, “Distributed Fault-Tolerant Control of Networked Uncertain Euler-Lagrange Systems Under Actuator Faults”, IEEE Transactions on Cybernetics, Vol. 47, No. 7, pp 1706-1718, 2017/7.

[68] Zhirong Zhang, Yongduan Song*, and Kai Zhao, “Neuroadaptive Cooperative Control Without Velocity Measurement for Multiple Humanoid Robots Under Full-State Constraints”, IEEE Transactions on Industrial Electronics, Vol. 66, No. 4, pp 2956-2964, 2019/4.

[69] Danyong Li, Peng Li, Wenchuan Cai, and Yongduan Song, Houjin Chen, “Adaptive Fault-Tolerant Control of Wind Turbines with Guaranteed Transient Performance Considering Active Power Control of Wind Farms”, IEEE Transactions on Industrial Electronics, Vol. 65, No. 4, pp 3275-3285, 2018/4.

[70] Rui Ling, Zhihui Shu, Qing Hu, and Yongduan Song, “Second-Order Sliding-Mode Controlled Three-Level Buck DC-DC Converters”, IEEE Transactions on Industrial Electronics, Vol. 65, No. 1, pp 898-906, 2018/1.

[71] Zhixi Shen, Yaping Ma, and Yongduan Song*, “Robust Adaptive Fault-tolerant Control of Mobile Robots with Varying Center of Mass”, IEEE Transactions on Industrial Electronics, Vol. 65, No. 3, pp 2419-2428, 2018/3.

[72] Yongduan Song*, Xiucai Huang, and Changyun Wen, “Robust Adaptive Fault-tolerant PID Control of MIMO Nonlinear Systems with Unknown Control Direction”, IEEE Transactions on Industrial Electronics, Vol. 64, No. 6, pp 4876-4884, 2017/6.

[73] Yongduan Song*, Liyuan Liang, and Mi Tan, “Neuroadaptive Power Tracking Control of Wind Farms under Uncertain Power Demands”, IEEE Transactions on Industrial Electronics, Vol. 64, No. 9, pp 7071-7078, 2017/9.

[74] Yongduan Song* , and Junxia Guo, “Neuro-Adaptive Fault-Tolerant Tracking Control of Lagrange Systems Pursuing Targets with Unknown Trajectory”, IEEE Transactions on Industrial Electronics, Vol. 64, No. 5, pp 3913-3920, 2017/5.

[75] Xiaojie Su, Xinxin Liu, and Yongduan Song, “Event-Triggered Sliding-mode Control for Multi-Area Power Systems”, IEEE Transactions on Industrial Electronics, Vol. 64, No. 8, pp 6732-6741, 2017/8.

[76] Yongduan Song*, and Xiaochun Yuan, “Low-cost Adaptive Fault-tolerant Approach For semiactive Suspension Control of High-speed Trains”, IEEE Transactions on Industrial Electronics, Vol. 63, No. 11, pp 7084-7093, 2016/11.

[77] Jiawei Chen, and Yongduan Song, “Dynamic Loads of Variable-speed Wind Energy Conversion System”, IEEE Transactions on Industrial Electronics, Vol. 63, No. 1, pp 178-188, 2016/1.

[78] Jiawei Chen, Ting Lin, Changyun Wen, and Yongduan Song, “Design of a Unified Power Controller for Variable-Speed Fixed-Pitch Wind Energy Conversion System”, IEEE Transactions on Industrial Electronics, Vol. 63, No. 8, pp 4899-4908, 2016/8.

[79] Shan Zuo, Ali Davoudi, Y. D. Song*, and Frank L. Lewis, “Fellow Distributed Finite-Time Voltage and Frequency Restoration in Islanded AC Microgrids”, IEEE Transactions on Industrial Electronics, Vol. 63, No. 10, pp 5988- 5997, 2016.

[80] Shaohua Luo, and Yongduan Song*, “Chaos Analysis-based Adaptive Backstepping Control of the Microelectromechanical Resonators with Constrained Output and Uncertain Time Delay”, IEEE Transactions on Industrial Electronics, Vol. 63, No. 10, pp 6217 -6225, 2016/10.

[81] Danyong Li, Wenchuan Cai, Peng Li, Zijun Jia, Houjin Chen, and Yongduan Song, “Neuroadaptive Variable Speed Control of Wind Turbine with Wind Speed Estimation”, IEEE Transactions on Industrial Electronics”, Vol. 63, No.12, pp 7754-7764, 2016/12.

[82] Yujuan Wang, Yongduan Song*, and Frank L. Lewis, “Robust Adaptive Fault-tolerant Control of Multiagent Systems with Uncertain Nonidentical Dynamics and Undetectable Actuation Failures”, IEEE Transactions on Industrial Electronics, Vol. 62, No. 6, pp 3978-3988, 2015.

[83] Gang Chen, Frank L. Lewis, E. Ning Feng, and Yongduan Song, “Distributed Optimal Active Power Control of Multiple Generation Systems”, IEEE Transactions on Industrial Electronics, Vol. 62, No. 11, pp 7079-7090, 2015.

[84] Peng Li, Roger Dargaville, Feng Liu, Jing Xia, and Yongduan Song, “Data-based Statistical Property Analyzing and Storage Sizing for Hybrid Renewable Energy Systems”, IEEE Transactions on Industrial Electronics, Vol. 62, No. 11, pp 6996-7008, 2015.

[85] Fanghong Guo, Changyun Wen, Jianfeng Mao, and Yongduan Song, “Distributed Secondary Voltage and Frequency Restoration Control of Droop-controlled Inverter-based Microgrids”, IEEE Transactions on Industrial Electronics, Vol. 62, No. 7, pp 4355-4364, 2015.

[86] Ruijun Cheng, Yongduan Song*, Dewang Chen, and Xiaoping Ma, “Intelligent Positioning Approach for High Speed Trains Based on Ant Colony Optimization and Machine Learning Algorithms”, IEEE Transactions on Intelligent Transportation Systems, Vol. 20, No. 10, pp 3737-3746, 2019/10.

[87] Yongduan Song*, and Wenting Song, “A Novel Dual Speed-curve Optimization based Approach for Energy-saving Operation of High-speed Trains”, IEEE Transactions on Intelligent Transportation Systems, Vol. 17, No. 6, pp 1564-1575, 2016/6.

[88] Yujuan Wang, Yongduan Song*, Hui Gao, and Frank L. Lewis, “Distributed Fault-tolerant Control of Virtually and Physically Interconnected Systems with Application to High-speed Trains under Traction/braking Failures”, IEEE Transactions on Intelligent Transportation Systems, Vol. 17, No. 2, pp 535-545, 2016/2.

[89] Yongduan Song*, Qi Song, and Wenchuan Cai, “Fault-tolerant Adaptive Control of High-speed Trains under Traction/braking Failures: a Virtual Parameter-based Approach”, IEEE Transactions on Intelligent Transportation Systems, Vol. 15, No. 2, pp 737-748, 2014/4.

[90] Danyong Li, and Yongduan Song*, “A Note on Model-independent Adaptive Fault-tolerant Output Tracking Control of 4WS4WD Road Vehicles”, IEEE Transactions on Intelligent Transportation Systems, Vol. 16, No. 3, pp 1594-1594, 2015.

[91] Danyong Li, Yongduan Song, Dong Huang, and Henan Chen, “Model-independent Adaptive Fault-tolerant Output Tracking Control of 4WS4WD Road Vehicles”, IEEE Transactions on Intelligent Transportation Systems, Vol. 14, No. 1, pp 169-179, 2013/3.

[92] Yongduan Song*, Henan Chen, and Danyong Li, “Virtual-point-based Fault-tolerant Lateral and Longitudinal Control of 4W-Steering Vehicles”, IEEE Transactions on Intelligent Transportation Systems, Vol. 12, No. 4, pp 1343-1351, 2011/12.

[93] Qi Song, Yongduan Song*, Tao Tang, and Bin Ning, “Computationally Inexpensive Tracking Control of High Speed Trains with Traction/braking Saturation”, IEEE Transactions on Intelligent Transportation Systems, Vol. 12, No. 4, pp 1116-1125, 2011/12.

[94] Ruijun Cheng, Yongduan Song*, Dewang Chen, and Long Chen, “Intelligent Localization of a High-Speed Train using LSSVM and the Online Sparse Optimization Approach”, IEEE Transactions on Intelligent Transportation Systems, Vol. 18, No. 8, pp 2071-2084, 2017/8.

[95] Yongduan Song*, Qi Song, and Wenchuan Cai, “Fault-tolerant Adaptive Control of High Speed Trains under Traction/Braking Failures-A Virtual Parameter based Approach”, IEEE Transactions on Intelligent Transportation Systems, Vol. 15, No. 2, pp 737-748, 2014/4.

[96] Xiaojie Su, Peng Shi, Ligang Wu, and Yongduan Song, “A Novel Control Design on Discrete-Time Takagi-Sugeno Fuzzy Systems with Time-varying Delays”, IEEE Transactions on Fuzzy Systems, Vol. 21, No. 4, pp 655-671, 2013/8.

[97] Xiaojie Su, Peng Shi, Ligang Wu, and Yongduan Song, “A Novel Approach to Filter Design for T-S Fuzzy Discrete-Time Systems with Time-varying Delay”, IEEE Transactions on Fuzzy Systems, Vol. 20, No. 6, pp. 1114-1129, 2012/12.

[98] Shan Zuo, Yongduan Song*, Frank L. Lewis, and Ali Davoudi, “Time-Varying Output Formation Containment of General Linear Homogeneous and Heterogeneous Multiagent Systems”, IEEE Transactions on Control of Network Systems, Vol. 6, No. 2, pp 537-548, 2019/6.

[99] Shiping Wen, Rui hu, Yin Yang, Tingwen Huang, Zhigang Zeng, and Yongduan Song, “Memristor-based Echo State Network with Online Least Mean Square”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 49, No. 9, pp 1787-1796, 2019/9.

[100]Fanghong Guo, Changyun Wen, Jianfeng Mao, Jiawei Chen, and Yongduan Song, “Hierarchical Decentralized Optimization Architecture for Economic Dispatch: A New Approach for Large-scale Power System”, IEEE Transactions on Industrial Informatics, Vol. 14, No. 2, pp 523-534, 2018/2.

联系方式:

ydsong@cqu.edu.cn

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