Weighted Approximation with Varying Weight, Vilmos Totik
Автор: Gerardo F. Torres del Castillo Название: 3-D Spinors, Spin-Weighted Functions and their Applications ISBN: 1461264162 ISBN-13(EAN): 9781461264163 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book on the theory of three-dimensional spinors and their applications fills an important gap in the literature. From the reviews:"Gathers much of what can be done with 3-D spinors in an easy-to-read, self-contained form designed for applications that will supplement many available spinor treatments.
Описание: Reports the Linear Parameter Varying (LPV) system identification. This book contains twelve chapters, focusing on the LPV identification methods for both discrete-time and continuous-time models, using different approaches such as optimization methods for input/output LPV models Identification, set membership methods, and more.
Автор: Marc A. Peters; Pablo Iglesias Название: Minimum Entropy Control for Time-Varying Systems ISBN: 0817639721 ISBN-13(EAN): 9780817639723 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book takes the topic of H-infinity control as a point of departure, and pursues an improved controller design suggested in the mainstream of robust control. Using stochastic methods, the book is important to the circuits and systems community, alongside researchers in networking systems, operator theory and linear multivariable control.
Автор: Patrick DeWilde; Alle-Jan van der Veen Название: Time-Varying Systems and Computations ISBN: 1441950451 ISBN-13(EAN): 9781441950451 Издательство: Springer Рейтинг: Цена: 27245.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Complex function theory and linear algebra provide much of the basic mathematics needed by engineers engaged in numerical computations, signal processing or control. The transfer function of a linear time invariant system is a function of the complex vari- able s or z and it is analytic in a large part of the complex plane. Many important prop- erties of the system for which it is a transfer function are related to its analytic prop- erties. On the other hand, engineers often encounter small and large matrices which describe (linear) maps between physically important quantities. In both cases similar mathematical and computational problems occur: operators, be they transfer functions or matrices, have to be simplified, approximated, decomposed and realized. Each field has developed theory and techniques to solve the main common problems encountered. Yet, there is a large, mysterious gap between complex function theory and numerical linear algebra. For example, complex function theory has solved the problem to find analytic functions of minimal complexity and minimal supremum norm that approxi- e. g., as optimal mate given values at strategic points in the complex plane. They serve approximants for a desired behavior of a system to be designed. No similar approxi- mation theory for matrices existed until recently, except for the case where the matrix is (very) close to singular.
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