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Abstract：
A kind of relative degree-based r-th-order derivative-type iterative learning control strategy is studied for linear time-invariant systems with relative degree r. By taking advantage of the method of integration by parts and the generalized Young inequality of convolution integral, monotone convergence of the relative degree-based iterative learning control law is derived in the sense of Lebesgue-p norm. Numerical simulations are given to show the validity and effectiveness of the proposed strategy. © 2011 Chinese Assoc of Automati.
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Proceedings of the 30th Chinese Control Conference, CCC 2011
ISSN： 9789881725592
Year： 2011
Publish Date： 2011
Page： 2446-2449
Language： English
Cited Count：
WoS CC Cited Count： 0
SCOPUS Cited Count：
ESI Highly Cited Papers on the List： 0 Unfold All
WanFang Cited Count：
Chinese Cited Count：
30 Days PV： 6
