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Practical adaptive iterative learning control framework based on robust adaptive approach
Author(s) -
Chen Weisheng,
Li Junmin,
Li Jing
Publication year - 2011
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.275
Subject(s) - iterative learning control , adaptive control , lyapunov function , control theory (sociology) , computer science , scheme (mathematics) , controller (irrigation) , robust control , control (management) , adaptive learning , control engineering , mathematical optimization , control system , artificial intelligence , mathematics , engineering , nonlinear system , mathematical analysis , physics , electrical engineering , quantum mechanics , agronomy , biology
This paper addresses a unified framework for a practical iterative learning control from a robust adaptive control viewpoint. It shows that if a Lyapunov method based on robust adaptive control scheme is available, and the Lyapunov function satisfies certain conditions, then it is straightforward to extend the robust adaptive controller to handle the practical iterative learning control problem in the system under consideration. Two examples are provided to show the application of the design method. The corresponding simulation results are given to verify the effectiveness of the control algorithm proposed in this paper. Copyright © 2010 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society