Research Research groups Member of: Vision, Learning and Control Centre for Internet of Things and Pervasive Systems Research projects Active projects Towards intelligent, pervasive, high performance control system architectures: A learning based approach Researchers: Professor Bing Chu Professor Chris Freeman Sponsor: Zhengzhou University Completed projects Coordination control of distributed generation units: a learning based approach Researchers: Professor Bing Chu Sponsor: Royal Society Publications 109 publications Page 3 of 11 Learning to calibrate quantum control pulses by iterative deconvolution Xi Cao, Bing Chu, Zhihui Peng, Yuxi Liu & Rebing Wu, 2021, IEEE Transactions on Control Systems Technology, 30(1) DOI: 10.1109/TCST.2021.3060321 Type: article Broiler FCR optimization using norm optimal terminal iterative learning control Simon V. Johansen, Martin R. Jensen, Bing Chu, Jan D Bendtsen, Jesper Mogensen & Eric Rogers, 2021, IEEE Transactions on Control Systems Technology, 29(2), 580-592 DOI: 10.1109/TCST.2019.2954300 Type: article Iterative learning control for region to region tracking B. Chu & D.H. Owens, 2020 DOI: 10.1109/CDC42340.2020.9303757 Type: conference Model predictive control of grid-connected NPC inverter with automatic weighting factors selection and reduced switching frequency M. Li, Zhan Shu & B. Chu, 2020 DOI: 10.1109/IPEMC-ECCEAsia48364.2020.9367661 Type: conference Generalized iterative learning control using successive projection: algorithm, convergence and experimental verification Yiyang Chen, Bing Chu & Christopher Freeman, 2020, IEEE Transactions on Control Systems Technology, 28(6), 2079-2091 DOI: 10.1109/TCST.2019.2928505 Type: article Analytical modeling and control of soft fast pneumatic networks actuators Guizhou Cao, B. Chu & Yanhong Liu, 2020 DOI: 10.1109/IECON43393.2020.9254517 Type: conference Model-free power optimization of wind farm based on Nelder-Mead method Zhiwei Xu, Hua Geng & Bing Chu, 2020 DOI: 10.1109/SPIES48661.2020.9243030 Type: conference Disturbance observer based iterative learning control for upper limb rehabilitation Benyan Huo, Yanghong Liu, Yunhui Qin, Bing Chu & Christopher Freeman, 2020 DOI: 10.1109/IECON43393.2020.9254696 Type: conference Application of the dynamic iterative learning control to the heteroplanar active magnetic bearing Lukasz Hladowski, A. Mystkowski, K. Galkowski, E. Rogers & B. Chu, 2020, IFAC-PapersOnLine, 53(2), 1511-1516 DOI: 10.1016/j.ifacol.2020.12.2009 Type: conference FES based wrist tremor suppression using multi-periodic repetitive control Zan Zhang, B. Chu, Yanhong Liu & D. H. Owens, 2020, IFAC-PapersOnLine, 53(2), 10135-10140 DOI: 10.1016/j.ifacol.2020.12.2739 Type: conference Pagination Previous page Previous 1 2 3 4 5 … Next page Next