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Iterative Learning Control - An Optimization Paradigm (Hardcover, 1st ed. 2016) Loot Price: R4,854
Discovery Miles 48 540
Iterative Learning Control - An Optimization Paradigm (Hardcover, 1st ed. 2016): David H. Owens

Iterative Learning Control - An Optimization Paradigm (Hardcover, 1st ed. 2016)

David H. Owens

Series: Advances in Industrial Control

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Loot Price R4,854 Discovery Miles 48 540 | Repayment Terms: R455 pm x 12*

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This book develops a coherent and quite general theoretical approach to algorithm design for iterative learning control based on the use of operator representations and quadratic optimization concepts including the related ideas of inverse model control and gradient-based design. Using detailed examples taken from linear, discrete and continuous-time systems, the author gives the reader access to theories based on either signal or parameter optimization. Although the two approaches are shown to be related in a formal mathematical sense, the text presents them separately as their relevant algorithm design issues are distinct and give rise to different performance capabilities. Together with algorithm design, the text demonstrates the underlying robustness of the paradigm and also includes new control laws that are capable of incorporating input and output constraints, enable the algorithm to reconfigure systematically in order to meet the requirements of different reference and auxiliary signals and also to support new properties such as spectral annihilation. Iterative Learning Control will interest academics and graduate students working in control who will find it a useful reference to the current status of a powerful and increasingly popular method of control. The depth of background theory and links to practical systems will be of use to engineers responsible for precision repetitive processes.

General

Imprint: Springer London
Country of origin: United Kingdom
Series: Advances in Industrial Control
Release date: November 2015
First published: 2016
Authors: David H. Owens
Dimensions: 235 x 155 x 27mm (L x W x T)
Format: Hardcover
Pages: 456
Edition: 1st ed. 2016
ISBN-13: 978-1-4471-6770-9
Categories: Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 1-4471-6770-8
Barcode: 9781447167709

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