Journal ArticleDOI
Iterative learning control for discrete-time systems with exponential rate of convergence
N. Amann,David H. Owens,Eric Rogers +2 more
- Vol. 143, Iss: 2, pp 217-224
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TLDR
An algorithm for iterative learning control is proposed based on an optimisation principle used by other authors to derive gradient-type algorithms and has potential benefits which include realisation in terms of Riccati feedback and feedforward components.Abstract:
An algorithm for iterative learning control is proposed based on an optimisation principle used by other authors to derive gradient-type algorithms. The new algorithm is a descent algorithm and has potential benefits which include realisation in terms of Riccati feedback and feedforward components. This realisation also has the advantage of implicitly ensuring automatic step-size selection and hence guaranteeing convergence without the need for empirical choice of parameters. The algorithm achieves a geometric rate of convergence for invertible plants. One important feature of the proposed algorithm is the dependence of the speed of convergence on weight parameters appearing in the norms of the signals chosen for the optimisation problem.read more
Citations
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Journal ArticleDOI
Analysis of PD-type iterative learning control for discrete-time singular system
Proceedings ArticleDOI
Norm Optimal Iterative Learning Control for a Roll to Roll nano/micro-manufacturing system
Erick Sutanto,Andrew G. Alleyne +1 more
TL;DR: A Norm Optimal Iterative Learning Controller (NOILC) is utilized to simultaneously improve the position tracking precision, as well as the web tension regulation in micro/nano-scale manufacturing.
Proceedings ArticleDOI
An iteration-domain filter for controlling transient growth in Iterative Learning Control
Qing Liu,Douglas A. Bristow +1 more
TL;DR: An iteration domain filter, which can be applied to any linear ILC system, is proposed, and fundamental results relating the learning process convergence rate to explicit bounds on the transient growth are presented.
Journal ArticleDOI
Optimal iterative learning control for end-point product qualities in semi-batch process based on neural network model
Zhihua Xiong,Jin Dong,Jie Zhang +2 more
TL;DR: An optimal iterative learning control (ILC) strategy of improving endpoint products in semi-batch processes is presented by combining a neural network model and control affine feed-forward neural network, and it has been proved that the tracking errors may converge to small values.
Proceedings ArticleDOI
Optimal Iterative Learning Control for Nonlinear Discrete-Time Systems
Hongwei Xu,Yanyan Huang +1 more
TL;DR: If some mild assumptions are given, some sufficient conditions for the existence of optimal iterative learning control of general nonlinear discrete-time systems are obtained.
References
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Numerical recipes in C
TL;DR: The Diskette v 2.06, 3.5''[1.44M] for IBM PC, PS/2 and compatibles [DOS] Reference Record created on 2004-09-07, modified on 2016-08-08.
Book
Optimization by Vector Space Methods
TL;DR: This book shows engineers how to use optimization theory to solve complex problems with a minimum of mathematics and unifies the large field of optimization with a few geometric principles.
Book
Optimal Control
TL;DR: Reading optimal control frank l lewis solution manual ebook pdf 2019 is extremely useful because you could get enough detailed information in the book technology has.