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Journal ArticleDOI

Iterative learning control for discrete-time systems with exponential rate of convergence

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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.

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Proceedings ArticleDOI

A run-to-run control strategy for polymorphic transformation in pharmaceutical crystallization

TL;DR: In this paper, a run-to-run concentration control (C-control) based on iterative learning control is developed for L-Glutamic acid from metastable α-form to stable β-form.
Journal ArticleDOI

Convergence characteristics of iterative learning control for discrete-time singular systems

TL;DR: In order to improve the learning performance, a gain-adaptive iterative learning control strategy is developed, which argues the iteration-time-variable gain vector while minimising the increment of quadratic tracking-error vectors of two adjacent iterations.

Flexible adaptation of iterative learning control with applications to synthetic bone graft manufacturing

TL;DR: In this article, a control algorithm is developed to precisely place different materials in specified locations, thereby the fabrication of advanced architecture scaffolds is feasible, which is an adaptation of Iterative Learning Control (ILC) for mass manufacturing applications.
Journal ArticleDOI

Fast calculation of the ‘ILC norm’ in iterative learning control

TL;DR: This paper shows how their method for the exploitation of matrix structure in computations for iterative learning control is equivalent to a special instance of the sequentially semi-separable (SSS) matrix arithmetic, and thus can be extended to many other computations in ILC, and specialised in some cases to even faster methods.
Journal ArticleDOI

Iterativ lernende Regelungen für Semi-Batchprozesse (Iterative Learning Control Algorithms for Semi Batch Processes)

TL;DR: Der im vorliegenden Aufsatz dargestellte ILR-Ansatz behandelt genau diese Schwierigkeiten durch Einführung eines speziellen Speichers, der abhängig vom gefahrenen Produkt and Verschmutzungsgrad des Reaktors arbeitet.
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

Linear systems

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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.
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