Автор: Astrom Karl Название: Introduction to Stochastic Control Theory ISBN: 0486445313 ISBN-13(EAN): 9780486445311 Издательство: Dover Рейтинг: Цена: 1407 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.
Описание: One of the definitive works in game theory, this fascinating volume offers an original look at methods of obtaining solutions for conflict situations. Combining the principles of game theory, the calculus of variations, and control theory, the author considers and solves an amazing array of problems: military, pursuit and evasion, games of firing and maneuver, athletic contests, and many other problems of conflict. Beginning with general definitions and the basic mathematics behind differential game theory, the author proceeds to examinations of increasingly specific techniques and applications: dispersal, universal, and equivocal surfaces; the role of game theory in warfare; development of an effective theory despite incomplete information; and more. All problems and solutions receive clearly worded, illuminating discussions, including detailed examples and numerous formal calculations. The product of fifteen years of research by a highly experienced mathematician and engineer, this volume will acquaint students of game theory with practical solutions to an extraordinary range of intriguing problems.
Автор: Goodwin Graham Название: Adaptive Filtering Prediction and Control ISBN: 0486469328 ISBN-13(EAN): 9780486469324 Издательство: Dover Рейтинг: Цена: 2191 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This unified survey of the theory of adaptive filtering, prediction, and control focuses on linear discrete-time systems and explores the natural extensions to nonlinear systems. In keeping with the importance of computers to practical applications, the authors emphasize discrete-time systems. Their approach summarizes the theoretical and practical aspects of a large class of adaptive algorithms. Ideal for advanced undergraduate and graduate classes, this treatment consists of two parts. The first section concerns deterministic systems, covering models, parameter estimation, and adaptive prediction and control. The second part examines stochastic systems, exploring optimal filtering and prediction, parameter estimation, adaptive filtering and prediction, and adaptive control. Extensive appendices offer a summary of relevant background material, making this volume largely self-contained. Readers will find that these theories, formulas, and applications are related to a variety of fields, including biotechnology, aerospace engineering, computer sciences, and electrical engineering.
Автор: Anderson Brian Название: Optimal Control: Linear Quadratic Methods ISBN: 0486457664 ISBN-13(EAN): 9780486457666 Издательство: Dover Рейтинг: Цена: 1955 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This augmented edition of a respected text teaches the reader how to use linear quadratic Gaussian methods effectively for the design of control systems. It explores linear optimal control theory from an engineering viewpoint, with step-by-step explanations that show clearly how to make practical use of the material. The three-part treatment begins with the basic theory of the linear regulator/tracker for time-invariant and time-varying systems. The Hamilton-Jacobi equation is introduced using the Principle of Optimality, and the infinite-time problem is considered. The second part outlines the engineering properties of the regulator. Topics include degree of stability, phase and gain margin, tolerance of time delay, effect of nonlinearities, asymptotic properties, and various sensitivity problems. The third section explores state estimation and robust controller design using state-estimate feedback. Numerous examples emphasize the issues related to consistent and accurate system design. Key topics include loop-recovery techniques, frequency shaping, and controller reduction, for both scalar and multivariable systems. Self-contained appendixes cover matrix theory, linear systems, the Pontryagin minimum principle, Lyapunov stability, and the Riccati equation. Newly added to this Dover edition is a complete solutions manual for the problems appearing at the conclusion of each section.
Автор: Shewhart Walter A. Название: Statistical Method from the Viewpoint of Quality Control ISBN: 0486652327 ISBN-13(EAN): 9780486652320 Издательство: Dover Рейтинг: Цена: 1172 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Green Michael Название: Linear Robust Control ISBN: 0486488365 ISBN-13(EAN): 9780486488363 Издательство: Dover Рейтинг: Цена: 2347 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Recent decades have witnessed enormous strides in the field of robust control of dynamical systems unfortunately, accounts of many of these developments are scattered in obscure research publications and accessible only to a small group of experts. In this highly regarded text for students and control engineers, the authors examine all of these advances, providing an in-depth examination of modern optimal and robust control. After a brief introductory chapter, the text proceeds to examinations of multivariable frequency response design, signals and systems, and linear fractional transformations and their role in control systems. Subsequent chapters develop the control system synthesis theory, beginning with a concise treatment of the linear quadratic Gaussian problem and advancing to full-information H-infinitycontroller synthesis, the H-infinity filter, and the H-infinitygeneralized regulator problem. Concluding chapters examine model reduction by truncation, optimal model reduction, and the four-block problem. The text concludes with a pair of design case studies and helpful appendices. This treatment requires familiarity with linear algebra, matrix theory, linear differential equations, classical control theory, and linear systems theory. "
Автор: Ioannou Название: Robust Adaptive Control ISBN: 0486498174 ISBN-13(EAN): 9780486498171 Издательство: Dover Рейтинг: Цена: 3366 р. Наличие на складе: Поставка под заказ.
Описание: This tutorial-style presentation of the fundamental techniques and algorithms in adaptive control is designed to meet the needs of a wide audience without sacrificing mathematical depth or rigor. The text explores the design, analysis, and application of a wide variety of algorithms that can be used to manage dynamical systems with unknown parameters. Topics include models for dynamic systems, stability, online parameter estimation, parameter identifiers, model reference adaptive control, adaptive pole placement control, and robust adaptive laws. Engineers and students interested in learning how to design, stimulate, and implement parameter estimators and adaptive control schemes will find that this treatment does not require a full understanding of the analytical and technical proofs. This volume will also serve graduate students who wish to examine the analysis of simple schemes and discover the steps involved in more complex proofs. Advanced students and researchers will find it a guide to the grasp of long and technical proofs. Numerous examples demonstrating design procedures and the techniques of basic analysis enrich the text.
Автор: Anderson, Brian Название: Optimal Control: Linear Quadratic Methods ISBN: 048678911X ISBN-13(EAN): 9780486789118 Издательство: Dover Цена: 3915 р. Наличие на складе: Поставка под заказ.
Описание: This augmented edition of a respected text teaches the reader how to use linear quadratic Gaussian methods effectively for the design of control systems. It explores linear optimal control theory from an engineering viewpoint, with step-by-step explanations that show clearly how to make practical use of the material. The three-part treatment begins with the basic theory of the linear regulator/tracker for time-invariant and time-varying systems. The Hamilton-Jacobi equation is introduced using the Principle of Optimality, and the infinite-time problem is considered. The second part outlines the engineering properties of the regulator. Topics include degree of stability, phase and gain margin, tolerance of time delay, effect of nonlinearities, asymptotic properties, and various sensitivity problems. The third section explores state estimation and robust controller design using state-estimate feedback. Numerous examples emphasize the issues related to consistent and accurate system design. Key topics include loop-recovery techniques, frequency shaping, and controller reduction, for both scalar and multivariable systems. Self-contained appendixes cover matrix theory, linear systems, the Pontryagin minimum principle, Lyapunov stability, and the Riccati equation. Newly added to this Dover edition is a complete solutions manual for the problems appearing at the conclusion of each section.
Автор: Sastry Shankar Название: Adaptive Control: Stability, Convergence and Robustness ISBN: 0486482022 ISBN-13(EAN): 9780486482026 Издательство: Dover Рейтинг: Цена: 1955 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
