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论文类型：期刊论文

发表时间：2014-01-01

发表刊物：Journal of Control Science and Engineering

收录刊物：EI、Scopus

卷号：2014

ISSN号：16875249

摘要：We address an iterative learning control (ILC) method for overcoming initial value problem caused by local convergence methods. Introducing a feedback recursive form of tracking errors into iterative learning law, this algorithm can avoid a crude linear approximation to nonlinear plants to reach global convergence property. The algorithm's structure is entirely illustrated. Under assumptions, it is guaranteed that tracking errors of the closed-loop system converge to zero. Besides, we discuss the roles of parameters in iterative learning law for algorithm realization, and a nonlinear case study is presented to demonstrate the effectiveness and tracking performance of the proposed algorithm. ? 2014 Guang-Wei Xu et al.