Control of Uncertain Sampled-Data Systems, Geir E. Dullerud
Автор: Juan I. Yuz; Graham C. Goodwin Название: Sampled-Data Models for Linear and Nonlinear Systems ISBN: 1447155610 ISBN-13(EAN): 9781447155614 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In this book, rather than emphasize differences between sampled-data and continuous-time systems, the authors proceed from the premise that, with modern sampling rates as high as they are, it is more appropriate to emphasise connections and similarities.
Автор: Roberto Tempo; Giuseppe Calafiore; Fabrizio Dabben Название: Randomized Algorithms for Analysis and Control of Uncertain Systems ISBN: 1447146093 ISBN-13(EAN): 9781447146094 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces readers to the fundamentals of probabilistic methods in the analysis and design of systems subject to deterministic and stochastic uncertainty. It provides tools for dealing with uncertainty in control systems.
Автор: Xiao-Heng Chang Название: Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems ISBN: 3662525496 ISBN-13(EAN): 9783662525494 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: "Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems" discusses new and meaningful findings on robust output feedback H-infinity control and filtering for uncertain linear systems, presenting a number of useful and less conservative design results based on the linear matrix inequality (LMI) technique.
Автор: Hinrichsen; Mertenson Название: Control of Uncertain Systems ISBN: 1475721102 ISBN-13(EAN): 9781475721102 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Invoking the machinery of Control Theory to control a real-world plant means, on the basis of available a priori knowledge of the plant, design- ing/selecting a feasible controller accomplishing the control objective.
Автор: Huijun Gao; Xianwei Li Название: Robust Filtering for Uncertain Systems ISBN: 3319059025 ISBN-13(EAN): 9783319059020 Издательство: Springer Рейтинг: Цена: 130610.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Rosario Toscano Название: Structured Controllers for Uncertain Systems ISBN: 1447151879 ISBN-13(EAN): 9781447151876 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book shows how to overcome system limitations imposed by lack of computing power or structure intrinsic to a controller. It offers detailed examples throughout, to aid readers in familiarizing themselves with the concepts presented.
Автор: Juan I. Yuz; Graham C. Goodwin Название: Sampled-Data Models for Linear and Nonlinear Systems ISBN: 1447169972 ISBN-13(EAN): 9781447169970 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In this book, rather than emphasize differences between sampled-data and continuous-time systems, the authors proceed from the premise that, with modern sampling rates as high as they are, it is more appropriate to emphasise connections and similarities.
Название: Robust Control of Uncertain Dynamic Systems ISBN: 1461491312 ISBN-13(EAN): 9781461491316 Издательство: Springer Рейтинг: Цена: 69650.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book details the tools of analysis and design for robust stability and performance of uncertain dynamic systems. It illustrates various systems level methodologies with applications from aerospace, electrical and mechanical engineering.
Автор: Hans Wilhelm Knobloch Название: Disturbance Attenuation for Uncertain Control Systems ISBN: 3319009567 ISBN-13(EAN): 9783319009568 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents a variety of approaches to the design problem in the presence of a (partly) unknown disturbance signal. A clear philosophy underlies each approach, among them Adaptive Control, Worst Case Design and Dissipation Inequalities.
Автор: Roberto Tempo; Giuseppe Calafiore; Fabrizio Dabben Название: Randomized Algorithms for Analysis and Control of Uncertain Systems ISBN: 1447161408 ISBN-13(EAN): 9781447161400 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces readers to the fundamentals of probabilistic methods in the analysis and design of systems subject to deterministic and stochastic uncertainty. It provides tools for dealing with uncertainty in control systems.
Автор: Rama K. Yedavalli Название: Robust Control of Uncertain Dynamic Systems ISBN: 1493940899 ISBN-13(EAN): 9781493940899 Издательство: Springer Рейтинг: Цена: 65290.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book details the tools of analysis and design for robust stability and performance of uncertain dynamic systems. It illustrates various systems level methodologies with applications from aerospace, electrical and mechanical engineering.
Автор: Roberto Tempo; Giuseppe Calafiore; Fabrizio Dabben Название: Randomized Algorithms for Analysis and Control of Uncertain Systems ISBN: 1849968829 ISBN-13(EAN): 9781849968829 Издательство: Springer Рейтинг: Цена: 55850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
The presence of uncertainty in a system description has always been a critical issue in control. Moving on from earlier stochastic and robust control paradigms, the main objective of this book is to introduce the reader to the fundamentals of probabilistic methods in the analysis and design of uncertain systems. Using so-called "randomized algorithms," this emerging area of research guarantees a reduction in the computational complexity of classical robust control algorithms and in the conservativeness of methods like H-infinity control.
Features:
- self-contained treatment explaining randomized algorithms from their genesis in the principles of probability theory to their use for robust analysis and controller synthesis;
- comprehensive treatment of sample generation, including consideration of the difficulties involved in obtaining independent and identically distributed samples;
- applications of randomized algorithms in congestion control of high-speed communications networks and the stability of quantized sampled-data systems.
Randomized Algorithms for Analysis and Control of Uncertain Systems will be of certain interest to control theorists concerned with robust and optimal control techniques and to all control engineers dealing with system uncertainties.
The present book is a very timely contribution to the literature. I have no hesitation in asserting that it will remain a widely cited reference work for many years.
M. Vidyasagar
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