Randomized Algorithms for Analysis and Control of Uncertain Systems, Roberto Tempo; Giuseppe Calafiore; Fabrizio Dabben
Автор: Oleg Granichin; Zeev (Vladimir) Volkovich; Dvora T Название: Randomized Algorithms in Automatic Control and Data Mining ISBN: 3642547850 ISBN-13(EAN): 9783642547850 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In the fields of data mining and control, the huge amount of unstructured data and the presence of uncertainty in system descriptions have always been critical issues.
Автор: Giuseppe Calafiore; Fabrizio Dabbene Название: Probabilistic and Randomized Methods for Design under Uncertainty ISBN: 1849965528 ISBN-13(EAN): 9781849965521 Издательство: Springer Рейтинг: Цена: 41925.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Probabilistic and Randomized Methods for Design under Uncertainty is a collection of contributions from the world`s leading experts in a fast-emerging branch of control engineering and operations research.
Автор: Jamshidi Название: Robust Control Systems with Genetic Algorithms ISBN: 0849312515 ISBN-13(EAN): 9780849312519 Издательство: Taylor&Francis Рейтинг: Цена: 15312.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Links genetic algorithms (GAs) and the design of robust control systems. Laying a foundation in the basics of GAs and genetic programming, this work demonstrates the power of these tools for developing optimal robust controllers for linear control systems, optimal disturbance rejection controllers, and predictive and variable structure control.
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: 22359.00 р. 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: 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: 8378.00 р. 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
Автор: Oleg Granichin; Zeev (Vladimir) Volkovich; Dvora T Название: Randomized Algorithms in Automatic Control and Data Mining ISBN: 3662522918 ISBN-13(EAN): 9783662522912 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In the fields of data mining and control, the huge amount of unstructured data and the presence of uncertainty in system descriptions have always been critical issues.
Описание: Parallel Algorithms for Optimal Control of Large Scale Linear Systems is a comprehensive presentation for both linear and bilinear systems.
Автор: Zdzislaw Bubnicki Название: Analysis and Decision Making in Uncertain Systems ISBN: 1849969094 ISBN-13(EAN): 9781849969093 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A unified and systematic description of analysis and decision problems within a wide class of uncertain systems, described by traditional mathematical methods and by relational knowledge representations. Prof. Bubnicki takes a unique approach to stability and stabilization of uncertain systems.
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.
Автор: Hinrichsen; Mertenson Название: Control of Uncertain Systems ISBN: 1475721102 ISBN-13(EAN): 9781475721102 Издательство: Springer Рейтинг: Цена: 6986.00 р. 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.
Описание: Focusing on groundbreaking interpolating control methods that are computationally simpler than model predictive control, particularly for high-order systems, this text includes a wealth of worked examples and a collection of adaptable MATLAB (R) script files.
Автор: Bongsob Song; J. Karl Hedrick Название: Dynamic Surface Control of Uncertain Nonlinear Systems ISBN: 1447126556 ISBN-13(EAN): 9781447126553 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This rigorous and practical introduction to nonlinear control design was written by the creators of the dynamic surface control algorithm. It discusses a range of problems including DSC design, output feedback, input saturation and fault-tolerant control.
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