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论文类型：期刊论文

发表时间：2015-01-01

发表刊物：ICIC Express Letters, Part B: Applications

收录刊物：EI、Scopus

卷号：6

期号：6

页面范围：1511-1517

ISSN号：21852766

摘要：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.