NDLI: Output feedback adaptive iterative learning control for nonlinear discrete-time systems with unknown control directions

Content Provider	IEEE Xplore Digital Library
Author	Miao Yu Jiasen Wang Huanhai Xin Donglian Qi
Copyright Year	2012
Description	Author affiliation: College of Electrical Engineering, Zhejiang Univer-sity, Hangzhou, 310027, China (Miao Yu; Jiasen Wang; Huanhai Xin; Donglian Qi)
Abstract	An adaptive iterative learning control method is developed for a class of high-order nonlinear output feedback discrete-time systems with random initial conditions and iteration-varying desired trajectories. The n-step ahead predictor approach is employed to estimate the future outputs. The discrete Nussbaum gain method is incorporated into the control design to deal with the lack of a priori knowledge of the control directions. The proposed control algorithm guarantees that the tracking error converges to zero asymptotically along the iterative learning axis except for the beginning outputs affected by the random initial conditions with all the signals in the controlled system bounded. A numerical simulation is carried out to demonstrate the effectiveness of the proposed control laws.
Starting Page	4660
Ending Page	4665
File Size	244715
Page Count	6
File Format	PDF
ISBN	9781467320658
ISSN	07431546
e-ISBN	9781467320665
e-ISBN	9781467320641
DOI	10.1109/CDC.2012.6426296
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Trajectory Control design Nonlinear systems Output feedback Adaptive control
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Modeling and Simulation

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