NDLI: Robust analysis of a genetic algorithm based optimization method for real-time iterative learning control applications

Content Provider	IEEE Xplore Digital Library
Author	Hatzikos, V.E. Hatonen, J. Harte, T. Owens, D.H.
Copyright Year	2003
Description	Author affiliation: Dept. of Autom. Control & Syst. Eng., Univ. of Sheffield, UK (Hatzikos, V.E.)
Abstract	Optimality based iterative learning control (ILC) schemes have been proved to be quite popular among the researchers. However most of these algorithms cannot cope with nonlinearities and hard constraints in the problem domain. This is a severe limitation since ILC theory is mainly applied to repetitive systems, which can be nonlinear. Thus, in order to overcome this problem a genetic algorithm (GA) based optimization method for ILC systems was introduced in (Hatzikos et al., 2003a) and (Hatzikos et al., 2003b). To our knowledge, this is the first time that a GA controller is introduced into ILC. This approach proved to be able to overcome all the shortcomings mentioned earlier and furthermore the simulation results have indicated satisfactory performance when the algorithm was applied to various dynamical systems. In this paper the idea of applying the proposed GA-ILC algorithm in real-time is investigated and a simulation structure that can be implemented into real-time applications is proposed. Furthermore the robustness of the proposed process is analysed in the existence of model uncertainties and unwanted disturbances. Simulations results are used to illustrate the performance of the proposed GA-ILC scheme.
Sponsorship	IEEE Ind. Electron. Soc. UNINOVA & Univ. Nova de Lisboa-FCT- DEE
Starting Page	396
Ending Page	401
File Size	347269
Page Count	6
File Format	PDF
ISBN	0780379373
DOI	10.1109/ETFA.2003.1248727
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-09-16
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robust control Algorithm design and analysis Genetic algorithms Optimization methods Iterative methods Control systems Automatic control Robots Error correction Optimal control
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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