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2020 – today
- 2025
[c46]Balint Gucsi, Nguyen Tan Viet Tuyen, Bing Chu, Danesh S. Tarapore, Long Tran-Thanh:
HRI-SENSE: A Multimodal Dataset on Social and Emotional Responses to Robot Behaviour. HRI 2025: 1319-1323- 2024
- [j28]Bing Chu
, Paolo Rapisarda, Paula Rocha:
Data-Driven Analysis and Control of 2-D Fornasini-Marchesini Models. IEEE Control. Syst. Lett. 8: 664-669 (2024) - [j27]David H. Owens, Bing Chu:
Error Corrected References for Accelerated Convergence of Low Gain Norm Optimal Iterative Learning Control. IEEE Trans. Autom. Control. 69(9): 5836-5851 (2024) - [j26]Zhiwei Xu, Bing Chu, Hua Geng, Xiaohong Nian, Chenghui Zhang:
Model-Guided Learning for Wind Farm Power Optimization. IEEE Trans. Control. Syst. Technol. 32(2): 428-439 (2024) - [c45]Aleksander Wolski, Bing Chu, Paolo Rapisarda:
Data-Driven Model Predictive Control for Continuous-Time Systems. CDC 2024: 369-374 - [c44]Eric Rogers, Bing Chu, Kevin L. Moore, Tom Oomen, Ying Tan:
Iterative Learning Control - Algorithms, Applications and Future Research Directions. CDC 2024: 2252-2268 - [c43]Kevin L. Moore, Bing Chu, Paolo Rapisarda:
Data-Driven Norm-Optimal Control of Discrete Repetitive Processes. CDC 2024: 4887-4892 - 2023
- [c42]Bing Chu, Paolo Rapisarda:
Data-Driven Iterative Learning Control for Continuous-Time Systems. CDC 2023: 4626-4631 - [c41]Robert Maniarski, Wojciech Paszke, Bing Chu, Eric Rogers:
Repetitive Process Based Higher-Order Iterative Learning Control Law Design. CDC 2023: 5606-5611 - 2022
- [j25]Xi Cao, Bing Chu, Yu-Xi Liu, Zhihui Peng, Rebing Wu:
Learning to Calibrate Quantum Control Pulses by Iterative Deconvolution. IEEE Trans. Control. Syst. Technol. 30(1): 193-201 (2022) - [j24]Yiyang Chen, Bing Chu, Christopher T. Freeman:
Iterative Learning Control for Path-Following Tasks With Performance Optimization. IEEE Trans. Control. Syst. Technol. 30(1): 234-246 (2022) - [j23]Zan Zhang, Bing Chu, Yanhong Liu, Haichuan Ren, Zhe Li, David H. Owens:
Multiperiodic Repetitive Control for Functional Electrical Stimulation-Based Wrist Tremor Suppression. IEEE Trans. Control. Syst. Technol. 30(4): 1494-1509 (2022) - [j22]Bing Chu, Andreas Rauh, Harald Aschemann, Eric Rogers, David H. Owens:
Constrained Iterative Learning Control for Linear Time-Varying Systems With Experimental Validation on a High-Speed Rack Feeder. IEEE Trans. Control. Syst. Technol. 30(5): 1834-1846 (2022) - [c40]Yueqing Zhang, Bing Chu, Zhan Shu:
Model-free Predictive Optimal Iterative Learning Control using Reinforcement Learning. ACC 2022: 3279-3284 - [c39]Weronika N. Nowicka, Bing Chu, Owen R. Tutty, Eric Rogers:
Reducing Aerodynamic Load Fluctuation in Wind Turbines using Iterative Learning Control laws Designed Using Reduced Order Models of the Flow. ACC 2022: 4242-4247 - 2021
- [j21]Guizhou Cao, Bing Chu, Benyan Huo, Yanhong Liu:
Design, Modeling and Control of an Enhanced Soft Pneumatic Network Actuator. Int. J. Humanoid Robotics 18(1): 2150004:1-2150004:25 (2021) - [j20]Simon Vestergaard Johansen, Martin R. Jensen, Bing Chu, Jan Dimon Bendtsen, Jesper Mogensen, Eric Rogers:
Broiler FCR Optimization Using Norm Optimal Terminal Iterative Learning Control. IEEE Trans. Control. Syst. Technol. 29(2): 580-592 (2021) - [j19]Zhiwei Xu, Hua Geng, Bing Chu:
A Hierarchical Data-Driven Wind Farm Power Optimization Approach Using Stochastic Projected Simplex Method. IEEE Trans. Smart Grid 12(4): 3560-3569 (2021) - [c38]Bin Chen, Bing Chu:
Distributed Iterative Learning Control for Networked Dynamical Systems with Guaranteed Individual Energy Cost. CDC 2021: 6554-6559 - 2020
- [j18]Yiyang Chen, Bing Chu, Christopher T. Freeman:
Generalized Iterative Learning Control Using Successive Projection: Algorithm, Convergence, and Experimental Verification. IEEE Trans. Control. Syst. Technol. 28(6): 2079-2091 (2020) - [c37]Bing Chu, David H. Owens:
Iterative Learning Control for Region to Region Tracking. CDC 2020: 3739-3744 - [c36]Bin Chen, Bing Chu, Hua Geng:
Distributed Iterative Learning Control for Constrained Consensus Tracking Problem. CDC 2020: 3745-3750 - [c35]Guizhou Cao, Bing Chu, Yanhong Liu:
Analytical Modeling and Control of Soft Fast Pneumatic Networks Actuators. IECON 2020: 2760-2765 - [c34]Benyan Huo, Yanhong Liu, Yunhui Qin, Bing Chu, Christopher T. Freeman:
Disturbance Observer Based Iterative Learning Control for Upper Limb Rehabilitation. IECON 2020: 2774-2779
2010 – 2019
- 2019
- [j17]Engin Hasan Copur, Chris T. Freeman, Bing Chu, Dina Shona Laila:
Repetitive Control of Electrical Stimulation for Tremor Suppression. IEEE Trans. Control. Syst. Technol. 27(2): 540-552 (2019) - [c33]Bin Chen, Bing Chu:
Distributed Norm Optimal Iterative Learning Control for Networked Dynamical Systems. ACC 2019: 2879-2884 - [c32]Bin Chen, Bing Chu:
Distributed Norm Optimal Iterative Learning Control for Formation of Networked Dynamical Systems. CDC 2019: 5574-5579 - [c31]Xi Cao, Bing Chu, Haijin Ding, Rebing Wu:
Iterative Deconvolution for Calibrating Quantum Control Pulses. CDC 2019: 7462-7467 - 2018
- [j16]Yiyang Chen, Bing Chu, Christopher T. Freeman:
Point-to-Point Iterative Learning Control With Optimal Tracking Time Allocation. IEEE Trans. Control. Syst. Technol. 26(5): 1685-1698 (2018) - [c30]David H. Owens, Bing Chu:
Error Corrected References and Acceleration of Norm Optimal iterative Learning Control. ACC 2018: 5594-5599 - [c29]Weronika N. Nowicka, Bing Chu, Owen R. Tutty, Eric Rogers:
Wind Turbine Aerodynamic Load Fluctuation Reduction Using Model Based Iterative Learning Control. ACC 2018: 6384-6389 - [c28]Fons Luijten, Bing Chu, Eric Rogers:
Iterative learning control for stroke rehabilitation with input dependent muscle fatigue modeling. ACC 2018: 6396-6401 - [c27]Simon Vestergaard Johansen, Martin R. Jensen, Bing Chu, Jan D. Bcndtsen, Jesper Mogensen, Eric Rogers:
Broiler Growth Optimization Using Norm Optimal Terminal Iterative Learning Control. CCTA 2018: 1258-1264 - [c26]Yiyang Chen, Bing Chu, Christopher T. Freeman:
Norm Optimal Iterative Learning Control for General Spatial Path Following Problem. CDC 2018: 4933-4938 - [c25]Shangcheng Chen, Christopher T. Freeman, Bing Chu:
Gradient-Based Iterative Learning Control for Decentralised Collaborative Tracking. ECC 2018: 721-726 - [c24]Aaron Peter Page, Christopher T. Freeman, Bing Chu:
Point-to-Point Repetitive Control with Application to Drop-Foot. ECC 2018: 2399-2404 - [c23]Zan Zhang, Yanhong Liu, Bing Chu:
Modeling and Identification of Electrically Stimulated Muscles for Wrist Movement. ICARCV 2018: 1823-1828 - 2017
- [c22]Weronika N. Nowicka, Bing Chu, Owen R. Tutty, Eric Rogers:
Load reduction in wind turbines with smart rotors using trial varying iterative learning control law. ACC 2017: 1377-1382 - [c21]Xuan Wang, Bing Chu, Eric Rogers:
New results on higher-order iterative learning control for discrete linear systems. nDS 2017: 1-6 - [c20]Thomas S. Lowndes, Alexander B. Phillips, Catherine A. Harris, Eric Rogers, Bing Chu, Ekaterina Popova:
Evaluating the Capabilities of a Flight-Style Swarm AUV to Perform Emergent and Adaptive Behaviours. TAROS 2017: 237-246 - 2016
- [j15]Engin Hasan Copur, Chris T. Freeman, Bing Chu, Dina Shona Laila:
System identification for FES-based tremor suppression. Eur. J. Control 27: 45-59 (2016) - [j14]Bing Chu, David H. Owens, Christopher T. Freeman:
Iterative Learning Control With Predictive Trial Information: Convergence, Robustness, and Experimental Verification. IEEE Trans. Control. Syst. Technol. 24(3): 1101-1108 (2016) - [j13]Sze Sing Lee, Bing Chu, Nik Rumzi Nik Idris, Hui Hwang Goh, Yeh En Heng:
Switched-Battery Boost-Multilevel Inverter with GA Optimized SHEPWM for Standalone Application. IEEE Trans. Ind. Electron. 63(4): 2133-2142 (2016) - [c19]Cheng Yu, Bing Chu, Rohit Ram, James Aichinger, Lizhen Qu, Hanna Suominen:
Pairwise FastText Classifier for Entity Disambiguation. ALTA 2016: 175-179 - [c18]Xuan Wang, Bing Chu, Eric Rogers:
Repetitive process based higher-order iterative learning control law design. ACC 2016: 378-383 - [c17]Bing Chu:
Iterative learning control for performance optimisation. ACC 2016: 2129-2134 - [c16]Yiyang Chen, Bing Chu, Christopher T. Freeman:
Spatial path tracking using iterative learning control. CDC 2016: 7189-7194 - 2015
- [j12]David H. Owens, Chris T. Freeman, Bing Chu:
Generalized norm optimal iterative learning control with intermediate point and sub-interval tracking. Int. J. Autom. Comput. 12(3): 243-253 (2015) - [j11]Bing Chu, Chris T. Freeman, David H. Owens:
A Novel Design Framework for Point-to-Point ILC Using Successive Projection. IEEE Trans. Control. Syst. Technol. 23(3): 1156-1163 (2015) - [c15]Bing Chu, Andreas Rauh, Harald Aschemann, Eric Rogers:
Experimental validation of constrained ILC approaches for a high speed rack feeder. ACC 2015: 3631-3636 - [c14]Bing Chu, David H. Owens, Christopher T. Freeman:
Predictive gradient iterative learning control. CDC 2015: 2377-2382 - [c13]Engin Hasan Copur, Christopher T. Freeman, Bing Chu, Dina Shona Laila:
FES based tremor suppression using repetitive control. CDC 2015: 6023-6028 - [c12]Yiyang Chen, Bing Chu, Christopher T. Freeman:
Point-to-point iterative learning control with optimal tracking time allocation. CDC 2015: 6089-6094 - 2014
- [j10]David H. Owens, Chris T. Freeman, Bing Chu:
An inverse-model approach to multivariable norm optimal iterative learning control with auxiliary optimisation. Int. J. Control 87(8): 1646-1671 (2014) - [j9]David H. Owens, Bing Chu, Eric Rogers, Chris T. Freeman, Paul L. Lewin:
Influence of Nonminimum Phase Zeros on the Performance of Optimal Continuous-Time Iterative Learning Control. IEEE Trans. Control. Syst. Technol. 22(3): 1151-1158 (2014) - 2013
- [j8]David H. Owens, Chris T. Freeman, Bing Chu:
Multivariable norm optimal iterative learning control with auxiliary optimisation. Int. J. Control 86(6): 1026-1045 (2013) - [j7]Jianyong Li, Yanhong Liu, Chunwen Li, Bing Chu:
Passivity-Based Nonlinear Excitation Control of Power Systems with Structure Matrix Reassignment. Inf. 4(3): 342-350 (2013) - [c11]David H. Owens, Christopher Thomas Freeman, Bing Chu:
Norm Optimal Iterative Learning Control with Auxiliary Optimization: A Switching Approach. ALCOSP 2013: 140-145 - [c10]David H. Owens, Christopher Thomas Freeman, Bing Chu:
Norm Optimal Iterative Learning Control for Planar Tracking Tasks. ALCOSP 2013: 683-688 - [c9]David H. Owens, Chris T. Freeman, Bing Chu:
Norm optimal Iterative Learning Control with auxiliary optimization - An inverse model approach. ACC 2013: 6691-6696 - [c8]Wenkang Xu, Bing Chu, Eric Rogers:
Cascade based iterative learning control of robotic-assisted upper extremity stroke rehabilitation. CDC 2013: 6688-6693 - [c7]Bing Chu, David H. Owens:
Singular value distribution of non-minimum phase systems with application to iterative learning control. CDC 2013: 6700-6705 - [c6]Yanhong Liu, Yanxing Liu, Bing Chu, Jianyong Li, Huo Haijuan:
Passivity Control of Induction Motors Based on Adaptive Observer Design. ICONS 2013: 176-181 - 2012
- [j6]David H. Owens, Bing Chu, Mutita Songjun:
Parameter-optimal iterative learning control using polynomial representations of the inverse plant. Int. J. Control 85(5): 533-544 (2012) - [c5]Bing Chu, Stephen Duncan, Antonis Papachristodoulou, Cameron Hepburn:
Using economic Model Predictive Control to design sustainable policies for mitigating climate change. CDC 2012: 406-411 - 2011
- [c4]Bing Chu, Stephen Duncan, Antonis Papachristodoulou:
A model for using control theory to design sustainable policies for greenhouse gas emissions. CCA 2011: 748-753 - [c3]Bing Chu, Stephen Duncan, Antonis Papachristodoulou:
A structured model reduction method for large scale networks. CDC/ECC 2011: 7782-7787 - 2010
- [j5]Bing Chu, David H. Owens:
Iterative learning control for constrained linear systems. Int. J. Control 83(7): 1397-1413 (2010) - [j4]David H. Owens, Bing Chu:
Modelling of non-minimum phase effects in discrete-time norm optimal iterative learning control. Int. J. Control 83(10): 2012-2027 (2010) - [c2]David H. Owens, Bing Chu, Zhonglun Cai, Eric Rogers, Chris T. Freeman, Paul L. Lewin:
Modeling the Influence of Non-minimum Phase Zeros on Gradient Based Linear Iterative Learning Control. CCA 2010: 392-397 - [c1]Youde Han, David H. Owens, Bing Chu:
Discrete Time Linear Optimal Repetitive Control - A Low Order Controller Scheme. CICSyN 2010: 238-243
2000 – 2009
- 2009
- [j3]Bing Chu, David H. Owens:
Accelerated norm-optimal iterative learning control algorithms using successive projection. Int. J. Control 82(8): 1469-1484 (2009) - 2008
- [j2]Yanhong Liu, Tiejun Chen, Chunwen Li, Yuzhen Wang, Bing Chu:
Energy-Based L2 Disturbance Attenuation Excitation Control of Differential Algebraic Power Systems. IEEE Trans. Circuits Syst. II Express Briefs 55-II(10): 1081-1085 (2008) - 2007
- [j1]Bing Chu, Yanhong Liu:
On the Asymptotic Stability of Positive 2-D Systems Described by the Roesser Model. IEEE Trans. Circuits Syst. II Express Briefs 54-II(12): 1102-1104 (2007)
Coauthor Index
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