Abstract
The problems of identification and stabilization of a class of Hammerstein systems over a wireless network are investigated in this paper. A new approach for the proof of iterative identification is presented first. Then a guaranteed performance controller is designed to stabilize the system. The effectiveness of the proposed approach is demonstrated by numerical examples.
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This work was supported by Shanghai Engineering Research Center of Green Energy Grid-Connected Technology Center (No. 13DZ2251900), Shanghai Natural Science Foundation (No. 15ZR1417500), Young Teacher Training Program and Industry- Study-Research Cooperation Project from Shanghai Education Commission (Nos. ZZsdl13008 and CXYsdl14012), and Science and Technology Commission of Shanghai Municipality (No. 11jc1404000).
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Wei-Hua Deng received the B. Sc. and M. Sc. degrees from the Shanxi University, China in 2003 and 2006, respectively, and the Ph. D. degree from Shanghai University, China in 2012. Currently, he is an associate professor in College of Electrical Engineering at Shanghai University of Electric Power, Shanghai, China.
His research interests include networked control, microgrid control, intelligent control and system identification.
ORCID iD: 0000-00001-6200-884X
Kang Li received the B. Sc. degree from Xiangtan University, China in 1989, the M. Sc. degree from Harbin Institute of Technology, China in 1992, and the Ph.D. degree from Shanghai Jiao Tong University, China in 1995. He is currently a professor in intelligent systems and control at Queen’s University Belfast. He has produced over 150 research papers and co-edited seven conference proceedings in his field. He is a chartered engineer, a member of the IEEE and the InstMC and the current secretary of the IEEE UK and Republic of Ireland Section. He has published about 100 refereed journal and conference papers.
His research interests include advanced algorithms for training and construction of neural networks, fuzzy systems and support vector machines, as well as advanced evolutionary algorithms, with applications to non-linear system modelling and control and micro-array data analysis.
Jing Deng received the B. Sc. degree from National University of Defence Technology, China in 2005, the M. Sc. degree from the Shanghai University, China in 2007, and the Ph.D. degree from the Intelligent Systems and Control (ISAC) Group at Queens University Belfast, UK in 2011. He is currently a research fellow at Energy, Power, and Intelligent Control Cluster with the School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, UK.
His research interests include system modelling, pattern recognition and fault detection, and fuzzy control with applications to polymer processing, bi-directional electric vehicle charging, and waste energy recovering.
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Deng, WH., Li, K. & Deng, J. Identification and guaranteed performance control of Hammerstein systems over wireless channels. Int. J. Autom. Comput. 13, 125–132 (2016). https://doi.org/10.1007/s11633-016-0951-0
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DOI: https://doi.org/10.1007/s11633-016-0951-0