Abstract
This paper presents a system identification technique for continuous-time state-space system using the iterative learning control. The transfer function parameters are regarded as functions with respect to the state-space parameters which will be identified. The relationship between the state-space parameters and the response error is explicitly derived. An update law of the state-space parameters is proposed so as to improve the convergence speed. The effectiveness of the proposed identification technique is demonstrated by numerical examples.
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Recommended by Editorial Board member Kwang Soon Lee under the direction of Editor Young Il Lee.
Atsushi Fujimori received his Ph.D. degree in Aeronautics from Nagoya University in Japan in 1989. Since 2006, he has been working in the Department of Mechanical Systems Engineering, University of Yamanashi in Japan as a professor. His research interests are in the areas of system identification, robust control, flight control and mobile robots.
Shinsuke Ohara received his Ph.D. degree in Mechanical Engineering from Osaka University in Japan in 2006. Since 2009, he has been working as an assistant professor in the Department of Mechanical Systems Engineering, University of Yamanashi in Japan. His research interests include control of constrained systems and mobile robot systems.
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Fujimori, A., Ohara, S. Parameter identification of continuous-time systems using iterative learning control. Int. J. Control Autom. Syst. 9, 203–210 (2011). https://doi.org/10.1007/s12555-011-0201-8
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DOI: https://doi.org/10.1007/s12555-011-0201-8