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Indexed by:期刊论文

Date of Publication:2015-01-01

Journal:ICIC Express Letters, Part B: Applications

Included Journals:EI、Scopus

Volume:6

Issue:6

Page Number:1511-1517

ISSN No.:21852766

Abstract:An iterative learning control (ILC) algorithm with global convergence property for nonlinear plants is addressed. The algorithm is expressed as a very general norm seeking-root problem in a Banach space and, in principle, can be used for continuous and discrete time systems. According to the recursive form of tracking error embedded in iterative learning law with feedback property, it is proved theoretically that the proposed ILC scheme guarantees that tracking error of the closed-loop system globally converges to zero. The algorithm  s structure is entirely illustrated, and a nonlinear case study is given to demonstrate the effectiveness and tracking performance of the proposed algorithm. ? 2015 ISSN.