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    楚冰

    2018-08-10   点击:[]


                     

    姓名:楚冰

    单位:南安普顿大学电子与计算机科系
    南安普敦SO17 IBJ,英国

    社会兼职:工程技术协会会员;电气和电子工程师协会会员; International Journal of Control 编委会成员

    邮箱:b.chu@soton.ac.uk

    个人网页:www.ecs.soton.ac.uk/people/bc1d11

    教育经历

    2000.09-2004.07    清华大学自动化专业学士学位

    2004.09-2007.01    清华大学控制理论与工程硕士学位

    2007.02-2009.11    谢菲尔德大学(英国)自动控制和系统工程博士学位

    获奖情况

    2012            Elsevier's Monthly Research Selection

    2012             2012 UKACC最佳会议论文奖

    2010       IET控制与自动化博士论文奖(颁发给英国该领域内的最佳博士论文)

    2010            英国皇家工程学院travel grant

    2009       国家优秀自费留学生奖

    2007-2009  英国海外研究学生奖学

    2000-2006  清华大学奖学金

    研究兴趣

    · 大规模网络化系统的分析与控制

    · 迭代和重复控制

    · 分布式控制系统

    · 应用优化理论

    · 鲁棒控制

    · 控制系统应用

    工作经历

    2012.03-至今     南安普顿大学电子与计算机科学系 教授,系统控制和信号处理研究生项目主管,主要研究方向:

                     学习和控制

    · 复杂网络化系统的学习与控制

    · 基于优化理论的迭代学习控制

    · 分布式强化学习

    网络化系统的分析与控制

    · 网络化系统的模型降阶与分解

    · 大规模网络的控制设计

    控制应用

    · 能源与可持续发展

    · 新一代辅助医疗器械

    · 自主水下机器人

    · 主动流体控制

    2010.06-2012.03    牛津大学工程系,博士后研究助理,主要研究方向:

    大规模网络化系统的分析与控制

    · 新颖的模型降阶方法

    · 网络化系统的分解方法

    控制应用

    · 英国工程与自然科学基金项目利用系统控制理论设计可持续发展策略

    博士生指导

    现有8名博士研究生 Engin H Copur, Yiyang Chen, Weronika Natalia Nowicka, Ahmad Takiyuddin Abdullah, Xiaoru Sun, Xuan Wang, Marco Frieslaar, Mu Li

    特邀讲座或报告

    2015.01.04       中科院沈阳自动化所

    2015.01.08       清华大学自动化系

    2014.10.15  南安普顿大学马来西亚校区

    2012.01.11       巴斯,埃塞克斯,伦敦,南安普顿控制会议特邀报告

    2011.12.05       南安普顿大学

    2011.11.11       牛津大学工程系

    2009.12.16 上海交通大学

    论文成果

    Thesis

    l Bing Chu, Iterative learning control using successive projection, PhD thesis, Department of Automatic Control and Systems Engineering, The University of Sheffield, United Kingdom, Dec. 2009.

    l Bing Chu, Stability analysis and filter design for two classes of spatially distributed dynamic systems, Master thesis, Department of Automation, Tsinghua University, China, Jan. 2007.

    l Bing Chu, Comparison of performance of several kinds of particle filters, Diploma dissertation, Department of Automation, Tsinghua University, China, Jul. 2004.

    Journal papers (Selected)

    l Sze Sing Lee, Bing Chu, Nik Rumzi Nik Idris, Hui Hwang Goh and Yeh En Heng, Switched-Battery Boost-Multilevel Inverter with GA Optimized SHEPWM for Standalone PV Application, .IEEE Transactions on Industrial Electronics, provisionally accepted, 2015.

    l Bing Chu, Chris T Freeman and David H Owens, A Novel Design Framework for Point-to-Point ILC using Successive Projection. IEEE Transactions on Control Systems Technology, in press, 2015.

    l Engin E. Copur, Chris T Freeman, Bing Chu and Dina Laila. System Identification for FES-Based Tremor Suppression. European Journal of Control, provisionally accepted, 2015.

    l Bing Chu, Chris T Freeman and David H Owens, A Novel Design Framework for Point-to-Point ILC using Successive Projection. IEEE Transactions on Control Systems Technology, in press, 2015.

    l Xuefang Li, Deqing Huang, Bing Chu and Jian-Xin Xu, Robust Iterative Learning Control for Systems with Norm-bounded Uncertainties, International Journal of Robust and Nonlinear Control, in press, 2015.

    l David H Owens, Christopher T Freeman and Bing Chu, Generalized Norm Optimal Iterative Learning Control with Intermediate Point and Sub-interval Tracking. International Journal of Automation and Computing, in press, 2015.

    l Wenkang Xu, Bing Chu and Eric Rogers, Iterative Learning Control for Robotic-assisted Upper Limb Stroke Rehabilitation in the Presence of Muscle Fatigue. Control Engineering Practice, 31, (1), pp. 63-72, 2014.

    l David H Owens, Bing Chu, Eric Rogers, Chris T Freeman and Paul L Lewin, Modelling the influence of non-minimum phase zeros on gradient based linear iterative learning control, IEEE Transactions on Control Systems Technology, 22, (3), pp. 1151-1158, 2014.

    l David H Owens and Bing Chu, Combined inverse and gradient iterative learning control: performance, monotonicity and robustness, International Journal of Robust and Nonlinear Control, 24, (3), pp. 406-431, 2014.

    l David H Owens, Chris T Freeman and Bing Chu, An Inverse Approach to Intermediate Point Norm Optimal Iterative Learning Control with Auxiliary Optimization. International Journal of Control, 87, (8), pp. 1646-1671, 2014.

    l Bing Chu, Stephen Duncan, Antonis Papachristodoulou and Cameron Hepburn, Analysis and control design of sustainable policies for greenhouse gas emissions, Applied Thermal Engineering, vol. 53, pp. 420-431, 2013.

    l David H Owens, Chris T Freeman and Bing Chu, Multivariable norm optimal iterative learning control with auxiliary optimization. International Journal of Control, 86, (6), 1026-1045, 2013.

    l David H Owens, Bing Chu and Mutita Songjun, Parameter optimal iterative learning control using polynomial representations of the inverse plant, International Journal of Control, vol. 85, pp. 533-544, 2012.

    l Youde Han, David H Owens and Bing Chu, Linear optimal repetitive control: low order controller schemes, An International Journal of Optimization and Control: Theories & Applications, vol. 2, pp. 1-16, 2012.

    l Bing Chu and David H Owens, Accelerated predictive norm-optimal iterative learning control, Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, vol. 225, pp. 744-759, 2011.

    l David H Owens and Bing Chu, Modelling of non-minimum-phase effects in discrete-time norm-optimal iterative learning control, International Journal of Control, vol. 83, no. 10, pp. 2012–2027, Oct. 2010.

    l Bing Chu and David H Owens, Iterative learning control for constrained linear systems, International Journal of Control, vol. 83, no. 7, pp. 1397–1413, Jul. 2010.

    l David H Owens and Bing Chu, Accelerated norm-optimal iterative learning control, International Journal of Advanced Mechatronic Systems, vol. 2, no. 1/2, pp. 4–18, invited paper, Jan. 2010.

    l Bing Chu and David H Owens, Accelerated norm-optimal iterative learning control algorithms using successive projection, International Journal of Control, vol. 82, no. 8, pp. 1469–1484, Aug. 2009.

    l Bing Chu and Yanhong Liu, On the asymptotic stability of positive 2-D systems described by the Roesser model, IEEE Transactions on Circuits and Systems, vol. 54, no. 12, pp. 1102–1104, Dec. 2007.

    l Yanhong Liu, Tiejun Chen, Chunwen Li, Yuzhen Wang and Bing Chu, Energy-based disturbance attenuation excitation control of differential algebraic power systems, IEEE Transactions on Circuits and Systems, vol. 55, no. 10, pp. 1081–1085, Oct. 2008.

    Conference contributions (Selected)

    l Chu, B., Owens, D.H. and Freeman, C. T. (2015) Predictive Gradient Iterative Learning Control, in in 54th IEEE Conference on Decision and Control, Osaka, Japan, Dec 2015.

    l Chen, Yiyang, Chu, B. and Freeman, C. T. Point-to-Point Iterative Learning Control with Optimal Tracking Time Allocation, in 54th IEEE Conference on Decision and Control, Osaka, Japan, Dec 2015.

    l Copur, E. H., Freeman, C. T., Chu, B. and Laila, D.S. (2015) FES Based Tremor Suppression Using Repetitive Control, in 54th IEEE Conference on Decision and Control, Osaka, Japan, Dec 2015.

    l Bing Chu, Andreas Rauh, Harald Aschemann and Eric Rogers, Experimentally Verified Constrained ILC for a High Speed Rack Feeder, in American Control Conference, Chicago, Jun 2015.

    l Engin H Copur, Chris T Freeman, Bing Chu and Dina S Laila, Repetitive Control Based Tremor Suppression using Electrical Stimulation. In, UKACC International conference on CONTROL, Loughborough, UK, Jul. 2014.

    l Bing Chu and David H Owens, Singular Value Distribution of Non-Minimum Phase Systems with Application to Iterative Learning Control, in 52nd IEEE Conference on Decision and Control, Florence, Italy, Dec 2013.

    l Wenkang Xu, Bing Chu and Eric Rogers, Cascade Based Iterative Learning Control of Robotic-Assisted Upper Extremity Stroke Rehabilitation, in 52nd IEEE Conference on Decision and Control, Florence, Italy, Dec 2013.

    l David H Owens, Chris T Freeman and Bing Chu, An Inverse Approach to Intermediate Point Norm Optimal Iterative Learning Control with Auxiliary Optimization, in American Control Conference, Washington DC, Jun 2013.

    l David H Owens, Chris T Freeman and Bing Chu, Norm Optimal Iterative Learning Control with Auxiliary Optimization: A Switching Approach, in IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, Jul. 2013.

    l David H Owens, Chris T Freeman, Bing Chu, Norm Optimal Iterative Learning Control for Planar Tracking Tasks, in IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, Jul. 2013.

    l Bing Chu, Stephen Duncan, Antonis Papachristodoulou and Cameron Hepburn, Using economic model predictive control to design sustainable policies for mitigating climate change, in 51st IEEE Conference on Decision and Control, Hawaii, US, Dec. 2012.

    l Bing Chu, Zhonglun Cai, David H Owens, Eric Rogers, Chris T Freeman and Paul L Lewin, Experimental Verification of Constrained Iterative Learning Control Using Successive Projection. In, UKACC International conference on CONTROL, Cardiff, UK, Sept. 2012.

    l Bing Chu, Stephen Duncan and Antonis Papachristodoulou, A structured model reduction method for large scale networks, in 50th IEEE Conference on Decision and Control and European Control Conference, Orlando, USA, Dec. 2011.

    l Bing Chu, Stephen Duncan, Antonis Papachristodoulou and Cameron Hepburn, Analysis and control design of sustainable policies for greenhouse gas emissions, in International Conference on Sustainable Thermal Energy Management, Newcastle, UK, Oct. 2011.

    l Bing Chu, Stephen Duncan and Antonis Papachristodoulou, A model for using control theory to design sustainable policies for greenhouse gas emissions, in IEEE Multi-conference on Systems and Control, Denver, USA, Sept. 2011.

    l Bing Chu, Zhonglun Cai, David H Owens, Eric Rogers, Chris T Freeman and Paul L Lewin, Experimental verification of accelerated norm-optimal iterative learning control, in 8th UKACC International Conference on Control, Conventry, UK, Sept. 2010.

    l David H Owens, Bing Chu, Zhonglun Cai, Eric Rogers, Chris T Freeman and Paul L Lewin, Modelling the influence of non-minimum phase zeros on gradient based linear iterative learning control, in IEEE Multi-conference on Systems and Control, Yokohama, Japan, Sept. 2010.

    l Youde Han, David H Owens and Bing Chu, Discrete time linear optimal repetitive control: a low order controller scheme, in 2nd International Conference on Computational Intelligence, Communications Systems and Networks, Liverpool, UK, Jul. 2010.

    l Bing Chu and David H Owens, Iterative learning control for constrained linear systems using projection method, in 2010 International Workshop on Human Adaptive Mechatronics (HAM), Loughborough, UK, May 2010.

    l David H Owens and Bing Chu, Iterative learning control for constrained linear systems using successive projection, in Symposium on Learning Control at 48th IEEE Conference on Decision and Control, Shanghai, China, Dec. 2009.

    l Bing Chu and David H Owens, Iterative learning control for constrained linear systems, in the 4th New-ACE Workshop on Control in Transportation and Communications, Loughborough University, Loughborough, UK, Sept. 2009.

    l David H Owens and Bing Chu, Iterative learning control using successive projection, in the 14th International Conference on Methods and Models in Automation and Robotics, Miedzyzdroje, Poland, Aug. 2009.

    l David H Owens and Bing Chu, Accelerated norm-optimal iterative learning control, in the 2008 Sino-European Workshop on Intelligent Robots and Systems, Chongqing, China, Dec. 2008.

    l Bing Chu and David H Owens, Accelerated norm-optimal iterative learning control using successive projection method, in the 2nd New-ACE Workshop on Computational Intelligence in Identification and Control, Queen’s University Belfast, Belfast, UK, Sept. 2008.

    Technical reports (Selected)

    l Bing Chu, Stephen Duncan, Antonis Papachristodoulou and Cameron Hepburn, Analysis and Control Design of Sustainable Policies for Greenhouse Gas Emissions, Research Report 2326/11, Department of Engineering Science, University of Oxford, UK, May 2011.

    l David H Owens and Bing Chu, Non-minimum phase discrete-time systems and norm-optimal iterative learning control, Research Report 1005, Department of Automatic Control and Systems Engineering, The University of Sheffield, UK, Sept. 2009.

    l Bing Chu and David H Owens, Iterative learning control for constrained linear systems, Research Report 990, Department of Automatic Control and Systems Engineering, The University of Sheffield, UK, Apr. 2009.

    l Bing Chu and David H Owens, Accelerated norm-optimal iterative learning control algorithms using successive projection, Research Report 980, Department of Automatic Control and Systems Engineering, The University of Sheffield, UK, Apr. 2008.

    学术活动和兼职

    l International Journal of Control编委会成员

    l 成员: IEEE, IET, New-ACE (EPSRC network)

    l 美国数学学会《数学评论》评论员

    l 期刊或会议审稿: IEEE Transactions on Automatic Control 

                     IEEE Transactions on Power Electronics

            Automatica
                International Journal of Control

                    Asian Journal of Control

                    Multidimensional Systems and Signal Processing

                   International Journal of Advanced Mechatronic Systems

                      IEEE Conference on Decision and Control

                                        IFAC World Congress

                   IEEE Conference on IEEE Multi-Conference on Systems and Control

                   Mediterranean Conference on Control and Automation

                                        International Workshop on Human Adaptive Mechatronics

    l 会议session主席: IEEE Conference on Decision and Control (2011, 2013, 2015).

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中国.郑州.郑州大学电气与信息工程学院 邮编:450001
系统维护:河南省机器人感知与控制工程研究中心