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http://dx.doi.org/10.5391/JKIIS.2004.14.2.247

2nd-order PD-type Learning Control Algorithm  

Kim, Yong-Tae (Department of Information ＆ Control Engineering, Hankyong National University)
Zeungnam Bien (Department of Electrical Engineering and Computer Science, KAIST)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.14, no.2, 2004 , pp. 247-252 More about this Journal
Abstract
In this paper are proposed 2nd-order PD-type iterative learning control algorithms for linear continuous-time system and linear discrete-time system. In contrast to conventional methods, the proposed learning algorithms are constructed based on both time-domain performance and iteration-domain performance. The convergence of the proposed learning algorithms is proved. Also, it is shown that the proposed method has robustness in the presence of external disturbances and the convergence accuracy can be improved. A numerical example is provided to show the effectiveness of the proposed algorithms.
Keywords
Iterative Learning Control; Robustness; Convergence; Iteration-Domain Performance;
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