Publication

Journals (Selected)

    1. Bing Chu, Andreas Rauh, Harald Aschemann, Eric Rogers and David Owens, Constrained Iterative Learning Control for Linear Time-Varying Systems with Experimental Validation on a High-Speed Rack Feeder, IEEE Transactions on Control Systems Technology, in press, 2022.

    2. Zhiwei Xu, Bing Chu, Hua Geng and Xiaohong Nian, Distributed Power Optimization of Large Wind Farms Using ADMM for Real-Time Control, IEEE Transactions on Power Systems, in press, 2022.

    3. Yiyang Chen, Bing Chu and Chris T Freeman, Iterative Learning Control for Robotic Path Following with Trial-Varying Motion Profiles, IEEE/ASME Transactions on Mechatronics, in press, 2022.

    4. Zan Zhang, Bing Chu, Yanhong Liu, Ze Li and David Owens, Multi-muscle functional electrical stimulation based wrist tremor suppression using repetitive control, IEEE/ASME Transactions on Mechatronics, in press, 2022.

    5. Zan Zhang, Bing Chu, Yanhong Liu, Haichuan Ren, Ze Li and David Owens, Multi-periodic repetitive control for functional electrical stimulation based wrist tremor suppression, IEEE Transactions on Control Systems Technology, in press, 2021.

    6. Hai-jin Ding, Bing Chu, Bo Qi and Re-Bing Wu, Collaborative Learning of High-Precision Quantum Control and Tomography, Physical Review Applied, 16, (1), p. 014056, 2021

    7. Yiyang Chen, Bing Chu and Chris T Freeman, Iterative Learning Control for Path Following Tasks with Performance Optimization, IEEE Transactions on Control Systems Technology, in press, 2021.

    8. Xi Cao, Bing Chu, Zhihui Peng, Yuxi Liu and Re-Bing Wu, Learning to Calibrate Quantum Control Pulses by Iterative Deconvolution, IEEE Transactions on Control Systems Technology, accepted, 2021.

    9. Zhiwei Xu, Hua Geng and Bing Chu, A Hierarchical Data–driven Wind Farm Power Optimization Approach Using Stochastic Projected Simplex Method, IEEE Transactions on Smart Grid, in press, 2021.

    10. Yiyang Chen, Bing Chu and Chris T Freeman, Generalized iterative learning control using successive projection: algorithm, convergence and experimental verification, IEEE Transactions on Control Systems Technology, in press, 2020.

    11. Yiyang Chen, Bing Chu, Chris T Freeman and Yanhong Liu, Generalized Iterative Learning Control with Mixed System Constraints: A Gantry Robot based Verification, Control Engineering Practice, in press, 2020.

    12. Simon V. Johansen, Martin R. Jensen, Bing Chu, Jan D. Bendtsen, Jesper Mogensen and Eric Rogers, Broiler FCR Optimization using Norm Optimal Terminal Iterative Learning Control, IEEE Transactions on Control System Technology, in press, 2019.

    13. Yiyang Chen, Bing Chu and Chris T Freeman, A coordinate descent approach to optimal tracking time allocation in point-to-point ILC, Mechatronics, in press, 2019.

    14. Rebing Wu, Bing Chu, David Owens and Herschel Rabitz, Data-driven gradient algorithm for high-precision quantum control, Physical Review A, in press, 2018.

    15. Yiyang Chen, Bing Chu and Chris T Freeman, Point-to-Point Iterative Learning Control with Optimal Tracking Time Allocation, IEEE Transactions on Control Systems Technology, in press, 2017.

    16. Engin E. Copur, Chris T Freeman, Bing Chu and Dina Laila, Repetitive Control of Electrical Stimulation for Tremor Suppression, IEEE Transactions on Control Systems Technology, in press, 2017.

    17. Bing Chu, Chris T Freeman and David H Owens, Iterative learning control with predictive trial information: convergence, robustness and experimental verifications. IEEE Transactions on Control Systems Technology, 24, (3), pp. 1101-1108, 2016.

    18. 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 application, IEEE Transactions on Industrial Electronics, 63, (4), pp. 2133-2142, 2016.

    19. Engin E. Copur, Chris T Freeman, Bing Chu and Dina Laila. System identification for FES-based tremor suppression. European Journal of Control, 26, (1), pp. 45-59, 2016.

    20. 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, 26, (4), pp. 697–718, 2015.

    21. 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, 23, (3), pp. 1156-1163, 2015.

    22. 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, 12, (3), pp. 243-253, 2015, special issue paper.

    23. 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.

    24. David H Owens, Bing Chu, Eric Rogers, Chris T Freeman and Paul L Lewin, The influence of non-minimum phase zeros on the performance of optimal continuous-time iterative learning control. IEEE Transactions on Control Systems Technology, 22, (3), pp. 1151-1158, 2014.

    25. 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.

    26. 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.

    27. 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.

    28. 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.

    29. 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.

    30. 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.

    31. 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, special issue paper.

    32. 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.

    33. 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.

    34. 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, invited paper.

    35. 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.

    36. 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 II: Express Briefs, vol. 54, no. 12, pp. 1102–1104, Dec. 2007.

Conferences (Selected)

    1. Yueqing Zhang, Bing Chu and Zhan Shu, Model-free Predictive Optimal Iterative Learning Control using Reinforcement Learning, 2022 American Control Conference, in press, 2022.

    2. Weronika Natalia Nowicka, Bing Chu, Owen Tutty, Eric Rogers, Reducing Aerodynamic Load Fluctuation in Wind Turbines using Iterative Learning Control laws Designed Using Reduced Order Models of the Flow, 2022 American Control Conference, in press, 2022.

    3. Bin Chen and Bing Chu, Distributed Iterative Learning Control for High Performance Consensus Tracking Problem with Switching Topologies, 13th UK Automatic Control Council (UKACC) International Conference (Control 2022), in press, 2022.

    4. Yueqing Zhang, Bing Chu and Zhan Shu, Parameter Optimal Iterative Learning Control Design: from Model-based, Data-driven to Reinforcement Learning, 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), in press, 2022.

    5. Zheng Jiang and Bing Chu, Norm Optimal Iterative Learning Control: A Data-Driven Approach, 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), in press, 2022.

    6. Bin Chen and Bing Chu, Distributed Iterative Learning Control for Networked Dynamical Systems with Guaranteed Individual Energy Cost, in 60th IEEE Conference on Decision and Control, 2021.

    7. Bing Chu and David Owens, Iterative Learning Control for Region to Region Tracking, in 59th IEEE Conference on Decision and Control, 2020.

    8. Bin Chen, Bing Chu and Hua Geng, Distributed Iterative Learning Control for Constrained Consensus Tracking Problem, in 59th IEEE Conference on Decision and Control, 2020.

    9. Zan Zhang, Bing Chu, Yanhong Liu, David H. Owens, FES based wrist tremor suppression using multi-periodic repetitive control, in 2020 IFAC World Congress, 2020.

    10. Zhiwei Xu, Hua Geng, Bing Chu, Menghao Qian, Ni Tan, Model-Free Optimization Scheme for Efficiency Improvement of Wind Farm Using Decentralized Reinforcement Learning, in 2020 IFAC World Congress, 2020.

    11. Lukasz Hladowski, Arkadiusz Mystkowski, Krzysztof Galkowski, Eric Rogers, Bing Chu, Application of the Dynamic Iterative Learning Control to the Heteropolar Active Magnetic Bearing, in 2020 IFAC World Congress, 2020.

    12. Zhiwei Xu, Hua Geng and Bing Chu, Model-Free Wind Farm Power Optimization Based on Hybrid Nelder-Mead-Gradient Projection, in 39th Chinese Control Conference, 2020.

    13. Bing Chu, Iterative Learning Control for Collaborative Tracking: Point to Point Tasks and Constraint Handling, in 13th IFAC Workshop on Adaptive and Learning Control Systems, 2019.

    14. Bin Chen and Bing Chu, Distributed Norm Optimal Iterative Learning Control for Point-To-Point Consensus Tracking, in 13th IFAC Workshop on Adaptive and Learning Control Systems, 2019.

    15. Yueqing Zhang, Bing Chu and Zhan Shu, A Preliminary Study on the Relationship between Iterative Learning Control and Reinforcement Learning, in 13th IFAC Workshop on Adaptive and Learning Control Systems, 2019.

    16. Hai-Jin Ding, Bing Chu and Re-Bing Wu, Collaborative Learning of High-Precision Quantum Control and Tomography, in 13th IFAC Workshop on Adaptive and Learning Control Systems, 2019.

    17. Yiyang Chen, Bing Chu and Chris Freeman, Iterative Learning Control for Minimum Time Path Following, in 13th IFAC Workshop on Adaptive and Learning Control Systems, 2019.

    18. Zan Zhang, Bing Chu, Yanhong Liu, Haichuan Ren and David H Owens, Wrist Tremor Suppression Based on Repetitive Control with Multi-Muscle Electrical Stimulation, in 13th IFAC Workshop on Adaptive and Learning Control Systems, 2019.

    19. Bin Chen and Bing Chu, Distributed Norm Optimal Iterative Learning Control for Formation of Networked Dynamical Systems, in 58th IEEE Conference on Decision and Control, 2019.

    20. Xi Cao, Bing Chu, Hai-Jin Ding and Re-Bing Wu, Iterative Deconvolution for Calibrating Quantum Control Pulses, in 58th IEEE Conference on Decision and Control, 2019.

    21. Bin Chen and Bing Chu, Distributed Norm Optimal Iterative Learning Control for Networked Dynamical Systems, in 2019 American Control Conference, Jul. 2019.

    22. Yiyang Chen, Bing Chu and Chris Freeman, Norm Optimal Iterative Learning Control for General Spatial Path Following Problem, in 57th IEEE Conference on Decision and Control, Dec. 2018.

    23. Johannes Alfonsus Nicolaas Luijten, Bing Chu and Eric Rogers, Iterative learning control for stroke rehabilitation with input dependent muscle fatigue modelling, in 2018 American Control Conference, Jul. 2018.

    24. Weronika Natalia Nowicka, Bing Chu, Owen Tutty, Eric Rogers, Load Reduction in Wind Turbines with Smart Rotors Using Trial Varying Iterative Learning Control Law, in 2018 American Control Conference, Jul. 2018.

    25. David Owens and Bing Chu, Error Corrected References and Acceleration of Norm Optimal Iterative Learning Control, in 2018 American Control Conference, Jul. 2018.

    26. Aaron Page, Chris Freeman and Bing Chu, Weighted Point-to-Point Repetitive Control for Drop-Foot Assistance, in 12th International UKACC Conference on Control, 2018.

    27. Simon Vestergaard Johansen, Martin Rishøj Jensen, Bing Chu, Jan Dimon Bendtsen, Jesper Mogensen, and Eric Rogers, Broiler Growth Optimization using Norm Optimal Terminal Iterative Learning Control, in 2018 IEEE Conference on Control Technology and Applications, 2018.

    28. Shangcheng Chen, Bing Chu and Chris Freeman, Gradient based Iterative Learning Control for Decentralised Collaborative Tracking, in 2018 European Control Conference, 2018.

    29. Aaron Page, Chris Freeman and Bing Chu, Point-To-Point Repetitive Control with Application to Drop Foot, in 2018 European Control Conference, 2018.

    30. Yiyang Chen, Bing Chu, and Chris T. Freeman, Generalized Norm Optimal Iterative Learning Control: Constraint Handling, in IFAC 2017 World Congress, Toulouse, France, Jul. 2017.

    31. Xuan Wang, Bing Chu, Eric Rogers, Higher-order Iterative Learning Control Law Design using Linear Repetitive Process Theory: Convergence and Robustness, in IFAC 2017 World Congress, Toulouse, France, Jul. 2017.

    32. Yiyang Chen, Bing Chu, and Chris T. Freeman, Point-to-point iterative learning control with optimal tracking time allocation: a coordinate descent approach, in 36th Chinese Control Conference, Dalian, China, Jul. 2017 (invited paper).

    33. Bing Chu, David Owens, Chris T Freeman, Yanhong Liu, Point-to-Point ILC with Accelerated Convergence, 2017 6th IEEE Data Driven Control and Learning Systems Conference, ChongQing, China, May 2017.

    34. Weronika Natalia Nowicka, Bing Chu, Owen Tutty, Eric Rogers, Load Reduction in Wind Turbines with Smart Rotors Using Trial Varying Iterative Learning Control Law, in American Control Conference, Seattle, USA, May 2017.

    35. Xuan Wang, Bing Chu and Eric Rogers, New Results on Higher-Order Iterative Learning Control for Discrete Linear Systems, 10th International Workshop on Multidimensional (nD) Systems (nDS 2017), Zielona Góra, Poland, Sept. 2017.

    36. Thomas S. Lowndes, Alexander B. Phillips, Catherine A. Harris, Eric Rogers, Bing Chu, and Ekaterina Popova, Evaluating the capabilities of the EcoSUBu to perform emergent and adaptive behaviours using simulation, 18th Towards Autonomous Robotic Systems (TAROS) Conference, Guildford, UK, Jul. 2017.

    37. Bing Chu, Iterative learning control for performance optimisation, in American Control Conference, Boston, awaiting publication, Jul. 2016.

    38. Yiyang Chen, Bing Chu, and Chris T. Freeman, Spatial path tracking using iterative learning control, in 55th IEEE Conference on Decision and Control, Las Vegas, US, Dec. 2016.

    39. Xuan Wang, Bing Chu, and Eric Rogers, Repetitive process based higher-order iterative learning control law design, in American Control Conference, Boston, awaiting publication, Jul. 2016.

    40. Bing Chu, David Owens and Chris T Freeman. Predictive Gradient Iterative Learning Control, in in 54th IEEE Conference on Decision and Control, Osaka, Japan, Dec 2015.

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

    42. Engin H. Copur, Chris Freeman, Bing Chu and Dina S. Laila. FES Based Tremor Suppression Using Repetitive Control, in 54th IEEE Conference on Decision and Control, Osaka, Japan, Dec 2015.

    43. 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.

    44. 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.

    45. Bing Chu and David H Owens, Singular Value Distribution of Non-Minimum Phase Systems with Application to Iterative Learning Control. In, 52st IEEE Conference on Decision and Control, Florence, Italy, 10 - 13 Dec 2013.

    46. Wenkang Xu, Bing Chu and Eric Rogers, Cascade based iterative learning control of robotic-assisted upper extremity stroke rehabilitation. In, 52st IEEE Conference on Decision and Control, Florence, Italy, 10 - 13 Dec 2013.

    47. David H Owens, Chris T Freeman, Bing Chu, An Inverse Approach to Intermediate Point Norm Optimal Iterative Learning Control with Auxiliary Optimization. American Control Conference, 17-19 June 2013, Washington DC, 17 - 19 Jun 2013.

    48. David H Owens, Chris T Freeman, 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 2013, 03 - 05 Jul 2013.

    49. 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, 2013.

    50. 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, 10 - 13 Dec 2012.

    51. 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.

    52. 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.

    53. 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.

    54. 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.

    55. 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.

    56. 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.

    57. 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.

    58. 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.

    59. 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.

    60. 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.