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Non-linear Control Based on Physical Models, Andreas Kugi


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Автор: Andreas Kugi
Название:  Non-linear Control Based on Physical Models
ISBN: 9781852333294
Издательство: Springer
Классификация:





ISBN-10: 1852333294
Обложка/Формат: Paperback
Страницы: 174
Вес: 0.28 кг.
Дата издания: 13.11.2000
Серия: Lecture Notes in Control and Information Sciences
Язык: English
Размер: 234 x 156 x 10
Основная тема: Engineering
Подзаголовок: Electrical, Mechanical and Hydraulic Systems
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The mathematical model is derived step by step on the basis of physical principles, and the physics behind the control problems serves as a basis for the controller design. The book demonstrates how the physics behind the mathematical models can help to successfully apply a certain control strategy.


Introduction to linear control systems

Автор: Bavafa-toosi Yazdan
Название: Introduction to linear control systems
ISBN: 0128127481 ISBN-13(EAN): 9780128127483
Издательство: Elsevier Science
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Цена: 15799.00 р. 22570.00 -30%
Наличие на складе: Есть (1 шт.)
Описание:

Introduction to Linear Control Systems is designed as a standard introduction to linear control systems for all those who one way or another deal with control systems. It can be used as a comprehensive up-to-date textbook for a one-semester 3-credit undergraduate course on linear control systems as the first course on this topic at university. This includes the faculties of electrical engineering, mechanical engineering, aerospace engineering, chemical and petroleum engineering, industrial engineering, civil engineering, bio-engineering, economics, mathematics, physics, management and social sciences, etc.

The book covers foundations of linear control systems, their raison detre, different types, modelling, representations, computations, stability concepts, tools for time-domain and frequency-domain analysis and synthesis, and fundamental limitations, with an emphasis on frequency-domain methods. Every chapter includes a part on further readings where more advanced topics and pertinent references are introduced for further studies. The presentation is theoretically firm, contemporary, and self-contained. Appendices cover Laplace transform and differential equations, dynamics, MATLAB and SIMULINK, treatise on stability concepts and tools, treatise on Routh-Hurwitz method, random optimization techniques as well as convex and non-convex problems, and sample midterm and endterm exams.

The book is divided to the sequel 3 parts plus appendices.

PART I: In this part of the book, chapters 1-5, we present foundations of linear control systems. This includes: the introduction to control systems, their raison detre, their different types, modelling of control systems, different methods for their representation and fundamental computations, basic stability concepts and tools for both analysis and design, basic time domain analysis and design details, and the root locus as a stability analysis and synthesis tool.

PART II: In this part of the book, Chapters 6-9, we present what is generally referred to as the frequency domain methods. This refers to the experiment of applying a sinusoidal input to the system and studying its output. There are basically three different methods for representation and studying of the data of the aforementioned frequency response experiment: these are the Nyquist plot, the Bode diagram, and the Krohn-Manger-Nichols chart. We study these methods in details. We learn that the output is also a sinusoid with the same frequency but generally with different phase and magnitude. By dividing the output by the input we obtain the so-called sinusoidal or frequency transfer function of the system which is the same as the transfer function when the Laplace variable s is substituted with . Finally we use the Bode diagram for the design process.

PART III: In this part, Chapter 10, we introduce some miscellaneous advanced topics under the theme fundamental limitations which should be included in this undergraduate course at least in an introductory level. We make bridges between some seemingly disparate aspects of a control system and theoretically complement the previously studied subjects.

Appendices: The book contains seven appendices. Appendix A is on the Laplace transform and differential equations. Appendix B is an introduction to dynamics. Appendix C is an introduction to MATLAB, including SIMULINK. Appendix D is a survey on stability concepts and tools. A glossary and road map of the available stability concepts and tests is provided which is missing even in the research literature. Appendix E is a survey on the Routh-Hurwitz method, also missing in the literature. Appendix F is an introduction to random optimization techniques and convex and non-convex problems. Finally, appendix G presents sample midterm and endterm exams, which are class-tested several times.

Brownian Models of Performance and Control

Автор: Harrison
Название: Brownian Models of Performance and Control
ISBN: 1107018390 ISBN-13(EAN): 9781107018396
Издательство: Cambridge Academ
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Цена: 7286.00 р.
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Описание: This book from one of the field`s leaders covers Brownian motion and stochastic calculus at the graduate level, and illustrates the use of that theory in various application domains, emphasizing business and economics. Aimed at non-mathematicians who build and analyze stochastic models, it contains many concrete formulas and worked examples.

Non-Identifier-Based High-Gain Adaptive Control

Автор: Achim Ilchmann
Название: Non-Identifier-Based High-Gain Adaptive Control
ISBN: 3540198458 ISBN-13(EAN): 9783540198451
Издательство: Springer
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Цена: 12157.00 р.
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Описание: A report on the following areas of research in adaptive control: the system classes under consideration; the properties of minimum phase systems and strictly positive real systems; and control objectives. The results are applied to the design of simple adaptive controllers.

Controllability and Stabilization of Parabolic Equations

Автор: VIOREL BARBU
Название: Controllability and Stabilization of Parabolic Equations
ISBN: 3319766651 ISBN-13(EAN): 9783319766652
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This monograph presents controllability and stabilization methods in control theory that solve parabolic boundary value problems.

Modeling and Control of Complex Physical Systems

Автор: Vincent Duindam; Alessandro Macchelli; Stefano Str
Название: Modeling and Control of Complex Physical Systems
ISBN: 3642420753 ISBN-13(EAN): 9783642420757
Издательство: Springer
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Цена: 16977.00 р.
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Описание: This book starts from the basic concept of port-based modeling and extends it to Port-Hamiltonian systems. This generic paradigm is then applied to various physical domains, showing its power and unifying flexibility for real multi-domain systems.

Mathematical Models of Non-Linear Excitations, Transfer, Dynamics, and Control in Condensed Systems and Other Media

Автор: Ludmilla A. Uvarova; Arkadii E. Arinstein; Anatoli
Название: Mathematical Models of Non-Linear Excitations, Transfer, Dynamics, and Control in Condensed Systems and Other Media
ISBN: 0306461331 ISBN-13(EAN): 9780306461330
Издательство: Springer
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Цена: 23058.00 р.
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Описание: Features articles from the Third International Conference of Mathematical Models of Non-Linear Excitations, Transfer, Dynamics and Control in Condensed Systems and Other Media, held June 29-July 3, 1998. This book covers topics including nonlinear exaltations in condensed systems and a evolution of complex systems.

Mathematical Models of Non-Linear Excitations, Transfer, Dynamics, and Control in Condensed Systems and Other Media

Автор: Ludmilla A. Uvarova; Arkadii E. Arinstein; Anatoli
Название: Mathematical Models of Non-Linear Excitations, Transfer, Dynamics, and Control in Condensed Systems and Other Media
ISBN: 1461371740 ISBN-13(EAN): 9781461371748
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Topics include: nonlinear exaltations in condensed systems, evolution of complex systems, dynamics and structure of molecular and biomolecular systems, mathematical models of transfer processes in nonlinear systems and numerical modeling and algorithms.

Multivariate Statistical Modelling Based on Generalized Linear Models

Автор: W. Hennevogl; Ludwig Fahrmeir; Gerhard Tutz
Название: Multivariate Statistical Modelling Based on Generalized Linear Models
ISBN: 1441929002 ISBN-13(EAN): 9781441929006
Издательство: Springer
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Цена: 27251.00 р.
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Описание: The book is aimed at applied statisticians, graduate students of statistics, and students and researchers with a strong interest in statistics and data analysis. This second edition is extensively revised, especially those sections relating with Bayesian concepts.

Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems

Автор: Marcin Witczak
Название: Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems
ISBN: 3319030132 ISBN-13(EAN): 9783319030135
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Taking the reader from advanced state estimation strategies right up to the latest techniques in soft computing, this book explains how to implement the Takagi-Sugeno models of fuzzy-systems fault diagnosis and fault-tolerant control in a unified framework.

Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems

Автор: Marcin Witczak
Название: Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems
ISBN: 3319380427 ISBN-13(EAN): 9783319380421
Издательство: Springer
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Цена: 15672.00 р.
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Описание: Taking the reader from advanced state estimation strategies right up to the latest techniques in soft computing, this book explains how to implement the Takagi-Sugeno models of fuzzy-systems fault diagnosis and fault-tolerant control in a unified framework.

Artificial Neural Networks for Modelling and Control of Non-Linear Systems

Автор: Johan A.K. Suykens; Joos P.L. Vandewalle; B.L. de
Название: Artificial Neural Networks for Modelling and Control of Non-Linear Systems
ISBN: 144195158X ISBN-13(EAN): 9781441951588
Издательство: Springer
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Цена: 19589.00 р.
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Описание: Artificial neural networks possess several properties that make them particularly attractive for applications to modelling and control of complex non-linear systems. Topics include non-linear system identification, neural optimal control, top-down model based neural control design and stability analysis of neural control systems.

Soft Computing for Control of Non-Linear Dynamical Systems

Автор: Oscar Castillo; Patricia Melin
Название: Soft Computing for Control of Non-Linear Dynamical Systems
ISBN: 3662003678 ISBN-13(EAN): 9783662003671
Издательство: Springer
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Цена: 6986.00 р.
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