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An Adaptive Learning Control and Its Application to Vibration Isolation Systems
Author(s) -
Iwase Masami,
Yamakita Masaki,
Maruta Yuji,
Yamazoe Hidetoshi
Publication year - 2001
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 - 10.1111/j.1934-6093.2001.tb00073.x
Subject(s) - control theory (sociology) , vibration isolation , computer science , iterative learning control , markov chain , isolation (microbiology) , adaptive control , inverse , control engineering , control (management) , inverse system , vibration , mathematical optimization , mathematics , artificial intelligence , engineering , machine learning , physics , geometry , quantum mechanics , microbiology and biotechnology , biology
We present adaptive learning control algorithms which use Markov parameters. Since in the algorithm, the control input and the model parameter are updated at each iteration, it is applicable to unknown systems in a class. In order to overcome the effect of a disturbance, Markov parameters of the inverse model is also introduced. The effectiveness of the algorithm is illustrated by means of a numerical simulation and experimental application to an active vibration isolation system.