Описание: The definition of "photonics" has been broadened in recent years to include nonlinear and quantum optics, today usually based on laser light. This book covers the fundamental properties of photon and light beams, both experimentally and theoretically. It covers the essentials of linear interactions and most of the nonlinear interactions between light and matter in both the transparent and absorbing cases. It also provides a basic knowledge of modern lasers, as well as the principles of nonlinear optical spectroscopy. It is self-consistent and enriched by a large number of calculated illustrations, examples, and descriptive tables. Graduate students in physics and electrical engineering, as well as other sciences, will find this book a thorough introduction to the field, while for lecturers and scientists it offers a rich source of useful information and a ready-to-hand reference. About 4000 references open access to original literature.The second edition is completely revised and enlarged.
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: 18284.00 р. 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: Geir E. Dullerud Название: Control of Uncertain Sampled-Data Systems ISBN: 1461275377 ISBN-13(EAN): 9781461275374 Издательство: Springer Рейтинг: Цена: 14673.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: My main goal in writing this monograph is to provide a detailed treatment of uncertainty analysis for sampled-data systems in the context of sys- tems control theory. Here, sampled-data system refers to the hybrid sys- tem formed when continuous time and discrete time systems are intercon- nected;
Автор: Maria Tomas-Rodriguez; Stephen P. Banks Название: Linear, Time-varying Approximations to Nonlinear Dynamical Systems ISBN: 184996100X ISBN-13(EAN): 9781849961004 Издательство: Springer Рейтинг: Цена: 25853.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A new technique for analysing and controlling nonlinear systems is introduced in this book. Although the methods outlined are novel, they can be simply implemented using pre-existing and widely known classical control ideas.
Автор: D. Hinrichsen; A. Isidori Название: Feedback Control of Linear and Nonlinear Systems ISBN: 3540117490 ISBN-13(EAN): 9783540117490 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: J?rgen Ackermann Название: Sampled-Data Control Systems ISBN: 3642825567 ISBN-13(EAN): 9783642825569 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter 4 treats controllability and reach- ability of discrete-time systems, controllability regions for con- strained inputs and the choice of the sampling interval primarily under controllability aspects.
Описание: Quantitative Feedback Design of Linear and Nonlinear Control Systems is a self-contained book dealing with the theory and practice of Quantitative Feedback Theory (QFT).
Автор: Ichikawa Akira, Katayama Hitoshi Название: Linear Time Varying Systems and Sampled-data Systems ISBN: 1852334398 ISBN-13(EAN): 9781852334390 Издательство: Springer Рейтинг: Цена: 25853.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book gives an introduction to H-infinity and H2 control for linear time-varying systems. Chapter 2 is concerned with continuous-time systems while Chapter 3 is devoted to discrete-time systems.The main aim of this book is to develop the H-infinity and H2 theory for jump systems and to apply it to sampled-data systems. The jump system gives a natural state space representation of sampled-data systems, and original signals and parameters are maintained in the new system. Two earlier chapters serve as preliminaries. Chapter 4 introduces jump systems and develops the H-infinity and H2 theory for them. It is then applied to sampled-data systems in Chapter 5.The new features of this book are as follows: The H-infinity control theory is developed for time-varying systems with initial uncertainty. Recent results on the relation of three Riccati equations are included. The H2 theory usually given for time-invariant systems is extended to time-varying systems. The H-infinity and H2 theory for sampled-data systems is established from the jump system point of view. Extension of the theory to infinite dimensional systems and nonlinear systems is discussed. This covers the sampled-data system with first-order hold. In this book 16 examples and 40 figures of computer simulations are included.The reader can find the H-infinity and H2 theory for linear time-varying systems and sampled-data systems developed in a unified manner. Some arguments inherent to time varying systems or the jump system point of view to sampled-data systems may give new insights into the system theory of time-invariant systems and sampled-data systems.
Автор: Tongwen Chen; Bruce A. Francis Название: Optimal Sampled-Data Control Systems ISBN: 1447130391 ISBN-13(EAN): 9781447130390 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Part I presents two indirect methods of sampled-data controller design: These approaches include approximations to a real problem, which involves an analogue plant, continuous-time performance specifications, and a sampled-data controller.
Автор: Hugues Garnier; Liuping Wang Название: Identification of Continuous-time Models from Sampled Data ISBN: 1849967407 ISBN-13(EAN): 9781849967402 Издательство: Springer Рейтинг: Цена: 26120.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the first book dedicated to direct continuous-time model identification for 15 years. The CONTSID toolbox discussed in the final chapter gives an overview of developments and practical examples in which MATLAB (R) can be used for direct time-domain identification of continuous-time systems.
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