Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/61822
Title: Analysis of a High-Order Iterative Learning Control Algorithm for Uncertain Nonlinear Systems with State Delays
Authors: Chen, Y. 
Gong, Z.
Wen, C.
Keywords: Convergence analysis
Delay
High-order scheme
Iterative learning control
Nonlinear systems
Tracking
Issue Date: 1-Mar-1998
Source: Chen, Y.,Gong, Z.,Wen, C. (1998-03-01). Analysis of a High-Order Iterative Learning Control Algorithm for Uncertain Nonlinear Systems with State Delays. Automatica 34 (3) : 345-353. ScholarBank@NUS Repository.
Abstract: For a better learning transient along the iteration number direction, a PID-type iterative learning control algorithm is proposed for a class of delayed uncertain nonlinear systems which perform a given task repeatedly. The convergence conditions for the proposed high-order learning control have been established. The tracking error bound is proven to be a class-K function of the bounds of reinitialization errors, uncertainties and disturbances to the systems. It is also indicated that the time delays in the system states do not play a significant role in the ILC convergence property. The effectiveness of the high-order ILC algorithm is demonstrated by simulation examples. § 1998 Elsevier Science Ltd. All rights reserved.
Source Title: Automatica
URI: http://scholarbank.nus.edu.sg/handle/10635/61822
ISSN: 00051098
Appears in Collections:Staff Publications

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