NDLI: Iterative learning control for nonlinear time-delay repetitive systems with arbitrary initial value

Content Provider	IEEE Xplore Digital Library
Author	Tao Hongfeng Zhang Hua Yang Huizhong Xu Jie
Copyright Year	2014
Description	Author affiliation: Sch. of Electr. & Autom. Eng., Nanjing Normal Univ., Nanjing, China (Xu Jie) \|\| Key Lab. of Adv. Process Control for Light Ind. Minist. of Educ., Jiangnan Univ., Wuxi, China (Tao Hongfeng; Zhang Hua; Yang Huizhong)
Abstract	For a class of nonlinear time-delay repetitive systems with initial deviation, output error, disturbances and arbitrary initial value conditions, the PD type closed-loop iterative learning tracking control problem which satisfies the global Lipschitz conditions is investigated. By defining the bounded desired trajectory, expected control and the tracking error of the iterative learning process, the necessary and sufficient conditions for the existence of the gain of the learning controller is given through the λ norm theory and Bellman-Gronwall inequality, which can guarantee the tracking error of the closed-loop system to be bounded, and the uniform convergence criteria of the control algorithm are also proved. Simulation of the speed control of the injection molding machine demonstrate the proposed method of this paper not only can improve the performance of the system significantly, but also has certain inhibition effect on the bounded disturbance and arbitrary initial problem.
Starting Page	8865
Ending Page	8870
File Size	127999
Page Count	6
File Format	PDF
ISBN	9789881563873
ISSN	19341768
DOI	10.1109/ChiCC.2014.6896492
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	TCCT, CAA
Subject Keyword	iterative learning control nonlinear time-delay system arbitrary initial closed-loop control λ norm
Content Type	Text
Resource Type	Article

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