Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0167-6911(01)00142-6
Title: Iterative learning control design for Smith predictor
Authors: Hu, Q. 
Xu, J.-X. 
Lee, T.H. 
Keywords: Convergence analysis
Iterative learning control
Multiplicative uncertainty
Smith predictor controller
Issue Date: 23-Oct-2001
Citation: Hu, Q., Xu, J.-X., Lee, T.H. (2001-10-23). Iterative learning control design for Smith predictor. Systems and Control Letters 44 (3) : 201-210. ScholarBank@NUS Repository. https://doi.org/10.1016/S0167-6911(01)00142-6
Abstract: The Smith predictor has been used to improve the closed-loop performance for systems with time delays. This paper proposes a frequency-domain method to design an iterative learning control to further improve the performance of Smith predictor controller. For a time-invariant plant with multiplicative perturbations and a Smith predictor controller, we derive a sufficient and necessary condition (which has the same form as that of a general robust performance design problem) for the iterative process to converge for all admissible plant uncertainties. In addition, the iterative learning controller under plant uncertainty is designed. An illustrative example demonstrating the main result is presented. © 2001 Elsevier Science B.V. All rights reserved.
Source Title: Systems and Control Letters
URI: http://scholarbank.nus.edu.sg/handle/10635/56425
ISSN: 01676911
DOI: 10.1016/S0167-6911(01)00142-6
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