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Iterative Learning Control, Hyo-Sung Ahn; Kevin L. Moore; YangQuan Chen


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Автор: Hyo-Sung Ahn; Kevin L. Moore; YangQuan Chen
Название:  Iterative Learning Control
ISBN: 9781849966580
Издательство: Springer
Классификация:





ISBN-10: 1849966583
Обложка/Формат: Paperback
Страницы: 230
Вес: 0.35 кг.
Дата издания: 19.10.2010
Серия: Communications and Control Engineering
Язык: English
Размер: 234 x 156 x 14
Основная тема: Engineering
Подзаголовок: Robustness and Monotonic Convergence for Interval Systems
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Shows the reader how to use robust iterative learning control in the face of model uncertainty Helps to improve the performance of repetitive electromechanical tasks, widespread in industry Provides a rounded and self-contained approach to the subject of iterative learning control not available elsewhere


Iterative Learning Control

Автор: David H. Owens
Название: Iterative Learning Control
ISBN: 1447167708 ISBN-13(EAN): 9781447167709
Издательство: Springer
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Цена: 19591.00 р.
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Описание:

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.


Iterative Learning Control

Автор: Zeungnam Bien; Jian-Xin Xu
Название: Iterative Learning Control
ISBN: 0792382137 ISBN-13(EAN): 9780792382133
Издательство: Springer
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Цена: 26122.00 р.
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Описание: Provides a comprehensive overview of iterative learning control theory and techniques relevant to industrial automation, and focuses on research directions for the 21st century. This title examines the important aspects of this technology. It also provides coverage of ILC`s history, its real-world applications, and its robustness and convergence.

Iterative Learning Control for Electrical Stimulation and Stroke Rehabilitation

Автор: Chris T. Freeman; Eric Rogers; Jane H. Burridge; A
Название: Iterative Learning Control for Electrical Stimulation and Stroke Rehabilitation
ISBN: 1447167252 ISBN-13(EAN): 9781447167259
Издательство: Springer
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Цена: 7685.00 р.
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Описание: Iterative learning control (ILC) has its origins in the control of processes that perform a task repetitively with a view to improving accuracy from trial to trial by using information from previous executions of the task. This brief shows how a classic application of this technique – trajectory following in robots – can be extended to neurological rehabilitation after stroke. Regaining upper limb movement is an important step in a return to independence after stroke, but the prognosis for such recovery has remained poor. Rehabilitation robotics provides the opportunity for repetitive task-oriented movement practice reflecting the importance of such intense practice demonstrated by conventional therapeutic research and motor learning theory. Until now this technique has not allowed feedback from one practice repetition to influence the next, also implicated as an important factor in therapy. The authors demonstrate how ILC can be used to adjust external functional electrical stimulation of patients’ muscles while they are repeatedly performing a task in response to the known effects of stimulation in previous repetitions. As the motor nerves and muscles of the arm reaquire the ability to convert an intention to move into a motion of accurate trajectory, force and rapidity, initially intense external stimulation can now be scaled back progressively until the fullest possible independence of movement is achieved.

Iterative Learning Control for Deterministic Systems

Автор: Kevin L. Moore
Название: Iterative Learning Control for Deterministic Systems
ISBN: 1447119142 ISBN-13(EAN): 9781447119142
Издательство: Springer
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Цена: 13060.00 р.
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Описание: The text follows with a complete and unifying analysis of the learning control problem for linear LTI systems using a system-theoretic approach which offers insight into the nature of the solution of the learning control problem.

Iterative Learning Control

Автор: David H. Owens
Название: Iterative Learning Control
ISBN: 144716928X ISBN-13(EAN): 9781447169284
Издательство: Springer
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Цена: 16977.00 р.
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Описание: Iterative Learning Control: Background and Review. Mathematical and Linear Modelling Methodologies.- Norm Optimal Iterative Learning Control: An Optimal Control Perspective.- Predicting the Effects of Non-minimum-phase Zeros.- Predictive Norm Optimal Iterative Learning Control.- Other Applications of Norm Optimal Iterative Learning Control.- Successive Projection Algorithms.- Parameter Optimal Iterative Learning Control.- Robustness of Parameter Optimal Iterative Learning Control.- Multi-parameter Optimal Iterative Learning Control.- No Normal 0 false false false EN-GB X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name: "Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow: yes; mso-style-priority:99; mso-style-parent: ""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination: widow-orphan; font-size:11.0pt; font-family: "Calibri","sans-serif"; mso-ascii-font-family: Calibri; mso-ascii-theme-font: minor-latin; mso-hansi-font-family: Calibri; mso-hansi-theme-font: minor-latin; mso-fareast-language: EN-US;} nlinear Iterative Learning Control and Optimization.

Iterative Learning Control

Автор: Zeungnam Bien; Jian-Xin Xu
Название: Iterative Learning Control
ISBN: 1461375754 ISBN-13(EAN): 9781461375753
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Iterative Learning Control (ILC) differs from most existing control methods in the sense that, it exploits every possibility to incorporate past control informa- tion, such as tracking errors and control input signals, into the construction of the present control action.

Iterative Learning Control

Автор: Yangquan Chen; Changyun Wen
Название: Iterative Learning Control
ISBN: 1852331909 ISBN-13(EAN): 9781852331900
Издательство: Springer
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Цена: 14365.00 р.
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Описание: From aerodynamic curve identification robotics to neuromuscular stimulation, Iterative Learning Control (ILC), has many applications. A system may have uncertainties in its dynamic model and its environment. Using system repetitiveness, ILC reduces uncertainties and improves control performance.

Iterative Identification and Control

Автор: Pedro Albertos; Antonio Sala Piqueras
Название: Iterative Identification and Control
ISBN: 1447110986 ISBN-13(EAN): 9781447110989
Издательство: Springer
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Цена: 20962.00 р.
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Описание: An exposition of the interplay between the modelling of dynamic systems and the design of feedback controllers based on these models. The authors of individual chapters are some of the most renowned and authoritative figures in the fields of system identification and control design.

Coding and Iterative Detection for Magnetic Recording Channels

Автор: Zining Wu
Название: Coding and Iterative Detection for Magnetic Recording Channels
ISBN: 1461370612 ISBN-13(EAN): 9781461370611
Издательство: Springer
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Цена: 13974.00 р.
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Описание: VLSI advances now enable increasingly sophisticated signal processing methods for negligible cost and complexity, a trend sure to continue even as disk access speeds progress to billions of bits per second and terabits per square inch in the new millennium of the in- formation age.

Iterative-Interpolation Super-Resolution Image Reconstruction

Автор: Vivek Bannore
Название: Iterative-Interpolation Super-Resolution Image Reconstruction
ISBN: 3642101453 ISBN-13(EAN): 9783642101458
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book presents a novel, hybrid, computationally-efficient reconstruction scheme for solving the problem of super-resolution restoration of high-resolution images from sequences of geometrically warped, aliased and under-sampled low-resolution images.

Coding and Iterative Detection for Magnetic Recording Channels

Автор: Zining Wu
Название: Coding and Iterative Detection for Magnetic Recording Channels
ISBN: 0792377176 ISBN-13(EAN): 9780792377177
Издательство: Springer
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Цена: 22203.00 р.
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Описание: Proposes several approaches for enhancing the performance of magnetic recording systems by coding and interpolated timing recovery. This book provides an introduction to turbo codes, LDPC codes and their iterative detection schemes. Its emphasis, however, is placed on the simplification of the detector structures for the implementation of codes.


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