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Intelligent Online Control for Nonlinear Mechanical Systems with Random Friction Effect  

Cho, Hyun-Cheol (동아대학교 전기공학과)
Lee, Kwon-Soon (동아대학교 전기공학과)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.56, no.12, 2007 , pp. 2226-2232 More about this Journal
Abstract
This paper presents online neural control approach for nonlinear mechanical systems with random friction nature. We construct neural auxiliary control to compensate a control error in online for overcoming friction effect which reduces control performance in real-time implementation. Friction dynamics is estimated by using online least square(LS) method, which is utilized for online learning of the neural network. We accomplish computer simulation for evaluating the proposed control approach comparing offline control method to demonstrate its superiority.
Keywords
신경회로망;확률마찰;기계시스템;온라인 학습;최소자승 추정법;
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