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
Technical Communique: Iterative Learning Control of Linear Discrete-Time Multivariable Systems
Yong Fang,Tommy W. S. Chow +1 more
TL;DR: An iterative learning control rule for linear discrete-time multivariable systems that assures a zero output error for the whole desired trajectory after only one learning iteration is presented.
Journal ArticleDOI
Finite-Iteration Tracking of Singular Coupled Systems Based on Learning Control With Packet Losses
TL;DR: The finite-iteration tracking for singular coupled systems with packet-dropping learning controllers with iterative learning controllers designed to consider the case of packet losses is discussed.
Journal ArticleDOI
Semi-empirical model-based multivariable iterative learning control of an RTP system
TL;DR: In this article, a comprehensive study on control system design for a rapid thermal processing (RTP) equipment has been conducted with the purpose to obtain maximum temperature uniformity across the wafer surface, while precisely tracking a given reference trajectory.
Journal ArticleDOI
An inverse-model approach to multivariable norm optimal iterative learning control with auxiliary optimisation
TL;DR: A general optimisation-based iterative learning control algorithm is derived that ensures convergence of tracking errors to zero whilst simultaneously minimising a specified quadratic objective function of the input signals and chosen auxiliary (state) variables.
Journal ArticleDOI
Unified Analysis of Iterative Learning and Repetitive Controllers in Trial Domain
Goele Pipeleers,Kevin L. Moore +1 more
TL;DR: To illustrate the value of a unified formulation of ILC and RC, the analysis of the most commonly used I LC and RC structures is harmonized and reveals central differences and similarities between various stability, monotonic convergence and steady-state performance conditions.
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.
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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.