Автор: Sastry Shankar Название: Adaptive Control: Stability, Convergence and Robustness ISBN: 0486482022 ISBN-13(EAN): 9780486482026 Издательство: Dover Рейтинг: Цена: 3096.00 р. Наличие на складе: Есть (1 шт.) Описание: With a focus on linear, continuous time, single-input, single-output systems, this volume surveys the major results and techniques of analysis in the field of adaptive control. The authors offer a clear, conceptual presentation of adaptive methods, enabling a critical evaluation of these techniques and suggesting avenues of further development. A brief historical overview of adaptive control is followed by a review of mathematical preliminaries and the development of several adaptive identification algorithms. Succeeding chapters examine averaging techniques, the robustness of adaptive schemes, and advanced topics -- including the use of prior information and multivariable adaptive control -- followed by a concise introduction to the control of a class of nonlinear systems. The treatment is largely self-contained, assuming only some graduate-level background in basic control systems and in linear systems theory.
Автор: Friedland Bernard Название: Control System Design: An Introduction to State-Space Methods ISBN: 0486442780 ISBN-13(EAN): 9780486442785 Издательство: Dover Рейтинг: Цена: 4337.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Klemens von Klemperer traces the many efforts of the German Resistance to forge alliances with Hitler`s opponents outside Germany. He uncovers the activities and beliefs of individual members, the formation of Resistance policies, their relations with the intelligence agencies of the Allied powers, and finally assesses the Resistance`s influence on the agenda of post-war international relations.
Автор: Astrom Karl Название: Introduction to Stochastic Control Theory ISBN: 0486445313 ISBN-13(EAN): 9780486445311 Издательство: Dover Рейтинг: Цена: 2227.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text for upper-level undergraduates and graduate students explores stochastic control theory in terms of analysis, parametric optimization, and optimal stochastic control. Limited to linear systems with quadratic criteria, it covers discrete time as well as continuous time systems. 1970 edition.
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