The University of Southampton
Telephone:
+442380596653
Email:
B.Chu@ecs.soton.ac.uk

Dr Bing Chu 

Dr Bing Chu joined School of Electronics and Computer Science (ECS) at University of Southampton in March 2012 where he is currently an associate professor. Prior to this, he was a postdoctoral researcher at University of Oxford (June 2010 - March 2012).

He obtained his BEng degree in Automation and MSc degree in Control Science and Technology from Tsinghua University, Beijing, China in 2004 and 2007, respectively. In 2009, he completed a
PhD degree in Automatic Control and Systems Engineering from the University of Sheffield, UK. His thesis was on 'Iterative Learning Control using Successive Projection' and was under the  supervision of Professor David H Owens.
 

Research

Research interests

His research is pushing the boundaries to fully exploit the power of learning in control systems design to achieve high system performance and to apply these methods to practical applications.

Teaching

ELEC1206: Electrical Materials and Fields
ELEC6229: Advanced Systems and Signal Processing
ELEC3035: Control Systems Design
 

Publications

Chu, Bing and Owens, David H. (2009) Accelerated norm-optimal iterative learning control algorithms using successive projection. International Journal of Control, 82 (8), 1469-1484. (doi:10.1080/00207170802512824).

Chu, Bing and Owens, David H. (2010) Iterative learning control for constrained linear systems. International Journal of Control, 83 (7), 1397-1413. (doi:10.1080/00207171003758752).

Owens, David and Chu, Bing (2010) Modelling of non-minimum-phase effects in discrete-time norm-optimal iterative learning control. International Journal of Control, 83 (10), 2012-2027. (doi:10.1080/00207179.2010.501458).

Chu, B. and Owens, D.H. (2011) Accelerated predictive norm-optimal iterative learning control. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 225 (6), 744-759. (doi:10.1177/0959651811399541).

Chu, Bing and Liu, Yanhong (2007) On the asymptotic stability of positive 2-D systems described by the Roesser model. IEEE Transactions on Circuits and Systems II: Express Briefs, 54 (12), 1102-1104. (doi:10.1109/TCSII.2007.908899).

Liu, Yanhong, Chen, Tiejun, Li, Chunwen, Wang, Yuzhen and Chu, Bing (2008) Energy-based disturbance attenuation excitation control of differential algebraic power systems. IEEE Transactions on Circuits and Systems II: Express Briefs, 55 (10), 1081-1085. (doi:10.1109/TCSII.2008.2001966).

Owens, David, Chu, Bing and Songjun, Mutita (2012) Parameter optimal iterative learning control using polynomial representations of the inverse plant. International Journal of Control. (doi:10.1080/00207179.2012.658867).

Owens, D.H. and Chu, B. (2010) Accelerated norm-optimal iterative learning control. International Journal of Advanced Mechatronic Systems, 2 (1/2), 4-18. (doi:10.1504/IJAMECHS.2010.030844).

Chu, Bing, Duncan, Stephen, Papachristodoulou, Antonis and Hepburn, Cameron (2013) Analysis and control design of sustainable policies for greenhouse gas emissions. Applied Thermal Engineering, 53 (2), 420-431. (doi:10.1016/j.applthermaleng.2012.04.022).

Owens, David and Chu, Bing (2012) Combined inverse and gradient iterative learning control: performance, monotonicity and robustness. International Journal of Robust and Nonlinear Control. (Submitted)

Chu, Bing, Duncan, Stephen and Papachristodoulou, Antonis (2012) A structure-preserving model reduction method. Automatica. (Submitted)

Chu, B, Cai, Z, Owens, D H, Rogers, E, Freeman, C T and Lewin, P L (2012) Experimental Verification of Constrained Iterative Learning Control Using Successive Projection. UKACC International Conference on Control 2012, Cardiff, United Kingdom. 02 - 04 Sep 2012. pp. 351-356 .

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

Owens, D H, Freeman, C T and Chu, B (2014) An Inverse Approach to Intermediate Point Norm Optimal Iterative Learning Control with Auxiliary Optimization. International Journal of Control, 87 (8), 1646-1671. (doi:10.1080/00207179.2014.880951).

Owens, D H, Freeman, C T and Chu, Bing (2013) Norm Optimal Iterative Learning Control with Auxiliary Optimization – An Inverse Model Approach. American Control Conference, 17-19 June 2013, Washington DC. 16 - 18 Jun 2013. pp. 6691-6696 .

Owens, D H, Freeman, C T and Chu, Bing (2013) Norm Optimal Iterative Learning Control with Auxiliary Optimization: A Switching Approach. IFAC International Workshop on Adaptation and Learning in Control and Signal Processing 2013, Caen, France. 02 - 04 Jul 2013. pp. 140-145 .

Chu, B, Duncan, Stephen and Papachristodoulou, Antonis (2011) A structured model reduction method for large scale networks. 50th IEEE Conference on Decision and Control and European Control Conference, , Orlando, United States. 12 - 15 Dec 2011. (In Press) (doi:10.1109/CDC.2011.6160773).

Chu, Bing, Duncan, Stephen, Papachristodoulou, Antonis and Hepburn, Cameron (2012) Using economic model predictive control to design sustainable policies for mitigating climate change. 51st IEEE Conference on Decision and Control, Maui, United States. 10 - 13 Dec 2012.

Owens, D.H., Freeman, C.T. and Chu, B. (2013) Norm Optimal Iterative Learning Control for Planar Tracking Tasks. IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, Caen, France. pp. 683-688 .

Chu, Bing, Duncan, Duncan, Papachristodoulou, Antonis and Hepburn, Cameron (2011) Analysis and control design of sustainable policies for greenhouse gas emissions. International Conference on Sustainable Thermal Energy Management, Newcastle, United Kingdom. 24 - 25 Oct 2011. 6 pp .

Chu, Bing, Duncan, Stephen and Papachristodoulou, Antonis (2011) A model for using control theory to design sustainable policies for greenhouse gas emissions. IEEE Multi-conference on Systems and Control, Denver, United States. 25 - 29 Sep 2011. pp. 748-753 .

Owens, D.H., Chu, B., Rogers, E., Freeman, C.T. and Lewin, P.L. (2014) 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), 1151-1158. (doi:10.1109/TCST.2013.2267743).

Copur, E. H., Freeman, C.T., Chu, B. and Laila, D.S. (2014) Repetitive Control Based Tremor Suppression using Electrical Stimulation. UKACC 10th International Conference on Control, Loughborough, United Kingdom. 08 - 10 Jul 2014. 6 pp .

Xu, W, Chu, Bing and Rogers, E (2013) Cascade based iterative learning control of robotic-assisted upper extremity stroke rehabilitation. 52nd IEEE Conference on Decision and Control, , Florence, Italy. 10 - 13 Dec 2013. pp. 6688-6693 .

Xu, W., Chu, Bing and Rogers, E. (2014) Iterative learning control for robotic-assisted upper limb stroke rehabilitation in the presence of muscle fatigue. Control Engineering Practice, 31, 63-72. (doi:10.1016/j.conengprac.2014.05.009).

Owens, David H., Freeman, Christopher and Chu, Bing (2015) Generalized Norm Optimal Iterative Learning Control with Intermediate Point and Sub-interval Tracking. International Journal of Automation and Computing, 12 (3), 243-253.

Owens, D.H. and Chu, Bing (2008) Iterative learning control using successive projection. 14th International Conference on Methods and Models in Automation and Robotics, Miedzyzdroje, Poland. 18 - 20 Aug 2008.

Owens, D.H. and Chu, B. (2009) Iterative learning control for constrained linear systems using successive projection. Symposium on Learning Control at 48th IEEE Conference on Decision and Control. 14 - 15 Dec 2009.

Chu, B. and Owens, D.H. (2010) Iterative learning control for constrained linear systems using projection method. HAM: International Workshop on Human Adaptive Mechatronics, Loughborough, United Kingdom. 12 - 13 May 2010.

Copur, E.H., Freeman, C.T., Chu, B. and Laila, D.S. (2016) System identification for FES-based tremor suppression. European Journal of Control, 27, 45-59. (doi:10.1016/j.ejcon.2015.12.003).

Copur, E. H., Freeman, C. T., Chu, B. and Laila, D.S. (2015) Repetitive Control for Tremor Suppression Using Electrical Stimulation. 5th Annual Conference of the International Functional Electrical Stimulation Society (IFESS) (UK and Ireland Chapter), Sheffield, United Kingdom.

Chu, B., Freeman, C. T. and Owens, D.H. (2015) A Novel Design Framework for Point-to-Point ILC Using Successive Projection. IEEE Transactions on Control Systems Technology, 23 (3), 1156-1163.

Chen, Yiyang, Chu, Bing and Freeman, Christopher T. (2015) Point-to-point iterative learning control with optimal tracking time allocation. In 2015 54th IEEE Conference on Decision and Control (CDC). IEEE. pp. 6089-6094 . (doi:10.1109/CDC.2015.7403177).

Chu, B., Owens, D.H. and Freeman, C. T. (2015) Predictive Gradient Iterative Learning Control. 54th IEEE Conference on Decision and Control, , Osaka, Japan. 15 - 18 Dec 2015. pp. 2377-2382 .

Copur, E. H., Freeman, C. T., Chu, B. and Laila, D.S. (2015) FES Based Tremor Suppression Using Repetitive Control. 54th IEEE Conference on Decision and Control, , Osaka, Japan. 15 - 18 Dec 2015. pp. 6023-6028 .

Chu, B., Owens, D.H. and Freeman, C.T. (2015) Iterative learning control with predictive trial information: convergence, robustness and experimental verifications. IEEE Transactions on Control Systems Technology, 1-8. (doi:10.1109/TCST.2015.2476779).

Chen, Y., Chu, B. and Freeman, C. T. (2015) Point-to-Point Iterative Learning Control with Optimal Tracking Time Allocation. Control & Optimisation UK, Oxford, United Kingdom.

Lee, Sze Sing, Chu, Bing, Idris, Nik Rumzi Nik, Goh, Hui Hwang and Heng, Yeh En (2016) Switched-battery boost-multilevel inverter with GA optimized SHEPWM for standalone application. IEEE Transactions on Industrial Electronics, 1-17. (doi:10.1109/TIE.2015.2506626).

Wang, X, Chu, B and Rogers, E (2016) Repetitive Process based Higher-order Iterative Learning Control Law Design. 2016 American Control Conference, ACC 2016, , Boston, United States. 05 - 07 Jul 2016. (In Press)

Chu, Bing (2016) Iterative learning control for performance optimisation. 2016 American Control Conference, ACC 2016, , Boston, United States. 05 - 07 Jul 2016. 6 pp .

Chen, Yiyang, Chu, Bing and Freeman, Christopher T. (2016) Spatial path tracking using iterative learning control. In 2016 IEEE 55th Conference on Decision and Control (CDC). IEEE. pp. 7189-7194 . (doi:10.1109/CDC.2016.7799378).

Chen, Yiyang, Chu, Bing and Freeman, Christopher (2018) Point-to-point iterative learning control with optimal tracking time allocation. IEEE Transactions on Control Systems Technology, 26 (5), 1685-1698, [8013126]. (doi:10.1109/TCST.2017.2735358).

Copur, Engin, Freeman, Christopher, Chu, Bing and Laila, Dina (2019) Repetitive control of electrical stimulation for tremor suppression. IEEE Transactions on Control Systems Technology, 27 (2), 540-552. (doi:10.1109/TCST.2017.2771327).

Chen, Yiyang, Chu, Bing and Freeman, Christopher (2017) Point-to-point iterative learning control with optimal tracking time allocation: a coordinate descent approach. In 2017 36th Chinese Control Conference (CCC). IEEE. pp. 3298-3303 . (doi:10.23919/ChiCC.2017.8027867).

Chen, Yiyang, Chu, Bing and Freeman, Christopher (2017) Generalized norm optimal iterative learning control: constraint handling. IFAC 2017 World Congress, The 20th World Congress of the International Federation of Automatic Control, Toulouse, France. 08 - 13 Jul 2017.

Chu, Bing, Owens, David, Freeman, Christopher and Liu, Yanhong (2017) Point-to-point ILC with accelerated convergence. IEEE 6th Data Driven Control and Learning Systems Conference, Convention Center of Chongqing Jiaotong University, Chongqing, China. 26 - 27 May 2017. (doi:10.1109/DDCLS.2017.8068127).

Nowicka, Weronika, Natalia, Chu, Bing, Tutty, Owen and Rogers, Eric (2017) Load reduction in wind turbines with smart rotors using trial varying iterative learning control law. In Proceedings of the American Control Conference.

Wang, Xuan, Chu, Bing and Rogers, Eric (2017) Higher-order iterative learning control law design using linear repetitive process theory: convergence and robustness. IFAC-PapersOnLine, 50 (1), 3123-3128. (doi:10.1016/j.ifacol.2017.08.320).

Luijten, Fons, Chu, Bing and Rogers, Eric (2018) Iterative learning control for stroke rehabilitation with input dependent muscle fatigue modeling. In Proceedings of American Control Conference (ACC) 2018. IEEE. 6 pp . (doi:10.23919/ACC.2018.8431755).

Nowicka, Weronika, Natalia, Chu, Bing, Tutty, Owen and Rogers, Eric (2018) Wind turbine aerodynamic load fluctuation reduction using model based iterative learning control. In 2018 Annual American Control Conference, ACC 2018. vol. 2018-June, Institute of Electrical and Electronics Engineers Inc. pp. 6384-6389 . (doi:10.23919/ACC.2018.8431576).

Owens, D. and Chu, B. (2018) Error corrected references and acceleration of norm optimal iterative learning control. In, 2018 American Control Conference. American Control Conference 2018: ACC 2018 (27/06/18 - 29/06/18) Institute of Electrical and Electronics Engineers Inc.. (doi:10.23919/ACC.2018.8431404).

Wu, Rebing, Chu, Bing, Owens, D and Rabitz, Herschel (2018) Data-driven gradient algorithm for high-precision quantum control. Physical Review A, 97 (4), [42122]. (doi:10.1103/PhysRevA.97.042122).

Johansen, Simon V., Jensen, Martin R., Chu, Bing, Bcndtsen, Jan D., Mogensen, Jesper and Rogers, Eric (2018) Broiler growth optimization using norm optimal terminal iterative learning control. In 2018 IEEE Conference on Control Technology and Applications, CCTA 2018. IEEE. pp. 1258-1264 . (doi:10.1109/CCTA.2018.8511464).

Page, A. P., Freeman, C. T. and Chu, B. (2018) Point-to-point repetitive control with application to drop-foot. In 2018 European Control Conference, ECC 2018. IEEE. pp. 2399-2404 . (doi:10.23919/ECC.2018.8550097).

Chen, Shangcheng, Freeman, Christopher and Chu, Bing (2018) Gradient-based iterative learning control for decentralised collaborative tracking. In 2018 European Control Conference, ECC 2018. IEEE. pp. 721-726 . (doi:10.23919/ECC.2018.8550177).

Page, A. P., Freeman, C. T. and Chu, B. (2018) Weighted point-to-point repetitive control for drop-foot assistance. In 018 UKACC 12th International Conference on Control (CONTROL). IEEE. pp. 468-473 . (doi:10.1109/CONTROL.2018.8516840).

Zhang, Zan, Liu, Yanhong and Chu, Bing (2018) Modeling and identification of electrically stimulated muscles for wrist movement. In 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018. IEEE. pp. 1823-1828 . (doi:10.1109/ICARCV.2018.8581166).

Chen, Yiyang, Chu, Bing and Freeman, Christopher (2019) A coordinate descent approach to optimal tracking time allocation in point-to-point ILC. Mechatronics, 59, 25-34. (doi:10.1016/j.mechatronics.2019.02.005).

Chen, Yiyang, Chu, Bing and Freeman, Christopher T. (2019) Norm optimal iterative learning control for general spatial path following problem. In 2018 IEEE Conference on Decision and Control (CDC). vol. 2018-December, IEEE. pp. 4933-4938 . (doi:10.1109/CDC.2018.8619378).

Chen, Yiyang, Chu, Bing and Freeman, Christopher T. (2017) Generalized norm optimal iterative learning control: constraint handling. IFAC-PapersOnLine, 50 (1), 13396-13401. (doi:10.1016/j.ifacol.2017.08.2275).

Geng, Hua, Zheng, Zedong, Zou, Tianming, Chu, Bing and Chandra, Ambrish (2019) Fast repetitive control with harmonic correction loops for shunt active power filter applied in weak grid. IEEE Transactions on Industry Applications, 55 (3), 3198-3206, [8626158]. (doi:10.1109/TIA.2019.2895570).

Chen, Yiyang, Chu, Bing and Freeman, Christopher (2019) Generalized iterative learning control using successive projection: algorithm, convergence and experimental verification. IEEE Transactions on Control Systems Technology. (doi:10.1109/TCST.2019.2928505). (In Press)

Chen, Yiyang, Chu, Bing and Freeman, Christopher (2019) Iterative learning control for minimum time path following. In 13th IFAC Workshop on Adaptive and Learning Control Systems. 6 pp .

Chen, Yiyang, Chu, Bing, Freeman, Christopher T. and Liu, Yanhong (2020) Generalized iterative learning control with mixed system constraints: A gantry robot based verification. Control Engineering Practice, 95, [104260]. (doi:10.1016/j.conengprac.2019.104260).

Lee, Sze Sing, Chu, Bing, Lim, Chee Shen and Lee, Kyo-Beum (2019) Two-inductor non-isolated DC-DC converter with high step-up voltage gain. Journal of Power Electronics, 19 (5), 1069-1073. (doi:10.6113/JPE.2019.19.5.1069).

Chen, Yiyang, Chu, Bing and Freeman, Christopher (2021) Iterative learning control for path following tasks with performance optimization. IEEE Transactions on Control Systems Technology, 30 (1), 234-246. (doi:10.1109/TCST.2021.3062223).

Cao, Guizhou, Chu, Bing, Huo, Benyan and Liu, Yanhong (2021) Design, modeling and control of an enhanced soft pneumatic network actuator. International Journal of Humanoid Robotics, 18 (1), [2150004].

Chu, Bing, Rogers, Eric, Rauh, Andreas, Aschemann, Harald and Owens, David H. (2021) Constrained iterative learning control for linear time-varying systems with experimental validation on a high-speed rack feeder. IEEE Transactions on Control Systems Technology. (doi:10.1109/TCST.2021.3123744). (In Press)

Huo, Benyan, Liu, Yanghong, Qin, Yunhui, Chu, Bing and Freeman, Christopher (2020) Disturbance observer based iterative learning control for upper limb rehabilitation. In IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society. IEEE. p. 2774 . (doi:10.1109/IECON43393.2020.9254696).

Contact

Share this profile FacebookTwitterWeibo