Model Predictive Control for AC Motors: Robustness and Accuracy Improvement Techniques, Han Yaofei, Gong Chao, Gao Jinqiu
Автор: Hyo-Sung Ahn; Kevin L. Moore; YangQuan Chen Название: Iterative Learning Control ISBN: 1849966583 ISBN-13(EAN): 9781849966580 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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
Автор: V.M. Kuntzevich; M.M. Lychak Название: Guaranteed Estimates, Adaptation and Robustness in Control Systems ISBN: 3540549250 ISBN-13(EAN): 9783540549253 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book is concerned with the problems of dynamic systemscontrol in conditions of uncertainty caused by the lack ofadequate a priori data on control objects` properties. The appearance offurther unimprovable estimates causes the necessity to refu-se the use of adaptive control and to turn to the robustcontrol.
Автор: Andrea Garulli; Alberto Tesi; Antonio Vicino Название: Robustness in Identification and Control ISBN: 1852331798 ISBN-13(EAN): 9781852331795 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book comprises a selection of papers that were first presented at the Robustness in Identification and Control Workshop, held in Siena, July 30 - August 2, 1998. Papers cover recent developments in research areas such as identification for control and the classical area of robust control.
Автор: Yangquan Chen; Changyun Wen Название: Iterative Learning Control ISBN: 1852331909 ISBN-13(EAN): 9781852331900 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Graziano Chesi; Andrea Garulli; Alberto Tesi; Anto Название: Homogeneous Polynomial Forms for Robustness Analysis of Uncertain Systems ISBN: 1848827806 ISBN-13(EAN): 9781848827806 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a number of techniques for robustness analysis of uncertain systems. In it, convex relaxations for several robustness problems are derived by exploiting and providing new results on the theory of homogenous polynomial forms.
Описание: This book presents a novel framework, known as Active Robust Optimization, which provides the tools for evaluating, comparing and optimizing changeable products. Since any product that can change its configuration during normal operation may be considered a “changeable product,” the framework is widely applicable. Further, the methodology enables designers to use adaptability to deal with uncertainties and so avoid over-conservative designs.Offering a comprehensive overview of the framework, including its unique features, such as its ability to optimally respond to uncertain situations, the book also defines a new class of optimization problem and examines the effects of changes in various parameters on their solution. Lastly, it discusses innovative approaches for solving the problem and demonstrates these ?with two examples from different fields in engineering design: optimization of an optical table and optimization of a gearbox.
Описание: This book presents a novel framework, known as Active Robust Optimization, which provides the tools for evaluating, comparing and optimizing changeable products.
Автор: Han Название: Model Predictive Control for AC Motors ISBN: 981168068X ISBN-13(EAN): 9789811680687 Издательство: Springer Рейтинг: Цена: 5589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces how to improve the accuracy and robustness of model predictive control. Firstly, the disturbance observation- and compensation-based method is developed. Secondly, direct parameter identification methods are developed. Thirdly, the seldom-focused-on issues such as sampling and delay problems are solved in this book. Overall, this book solves the problems in a systematic and innovative way. Chapter 2 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com
Описание: This book is all about finite wordlength errors in digital filters, con- trollers and estimators, and how to minimize the deleterious effects of these errors on the performance of these devices.
Автор: Bai Название: Permanent Magnet Spherical Motors ISBN: 9811079617 ISBN-13(EAN): 9789811079610 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In order to take full advantage of the concise structure of spherical motors in practical applications, magnetic-field-based sensing and control methods that utilize the existing magnetic fields of spherical motors and eliminate the need to install external sensors for feedback are proposed.
Описание: Accuracy is one of the fundamental characteristics and one of the most important indexes of the quality of machines and robots. It significantly defines their structure and applications and, in turn, depends on their structure and applications. This book combines theoretical chapters with applications to machines and robots with different kinematic types.
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