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Process Modelling, Identification, and Control, J?n Mikle?; Miroslav Fikar


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Автор: J?n Mikle?; Miroslav Fikar
Название:  Process Modelling, Identification, and Control
ISBN: 9783642091124
Издательство: Springer
Классификация:


ISBN-10: 3642091121
Обложка/Формат: Paperback
Страницы: 480
Вес: 0.70 кг.
Дата издания: 15.10.2010
Язык: English
Размер: 234 x 156 x 26
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Control and automation in its broadest sense plays a fundamental role in process industries. Control assures stability of technologies, disturbance - tenuation, safety of equipment and environment as well as optimal process operation from economic point of view. This book intends to present modern automatic control methods and their applications in process control in p- cess industries. The processes studied mainly involve mass and heat transfer processes and chemical reactors. It is assumed that the reader has already a basic knowledge about c- trolled processes and about di?erential and integral calculus as well as about matrixalgebra.Automaticcontrolproblemsinvolvemathematicsmorethanit is usual in other engineering disciplines. The book treats problems in a similar way as it is in mathematics. The problem is formulated at ?rst, then the t- orem is stated. Only necessary conditions are usually proved and su?ciency is left aside as it follows from the physical nature of the problem solved. This helps to follow the engineering character of problems. The intended audience of this book includes graduate students but can also be of interest to practising engineers or applied scientists.


Fuzzy Control and Identification

Автор: Lilly
Название: Fuzzy Control and Identification
ISBN: 0470542772 ISBN-13(EAN): 9780470542774
Издательство: Wiley
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Цена: 16782.00 р.
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Описание: A fuzzy control system is a control system based on fuzzy logic, which is a mathematical system that analyzes analog input values in terms of logical variables that take on continuous values between 0 and 1. This text provides a broad introduction to fuzzy control and identification, covering both Mamdani and Takagi-Sugeno fuzzy systems.

Industrial Process Identification and Control Design

Автор: Liu Tao
Название: Industrial Process Identification and Control Design
ISBN: 1447160169 ISBN-13(EAN): 9781447160168
Издательство: Springer
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Цена: 22201.00 р.
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Описание: This volume is devoted to advanced identification and control methods for the operation of continuous-time processes, both with and without time delay, in industrial and chemical engineering practice. Methods are well illustrated by practical examples.

Financial modelling with jump processes

Автор: Cont, Tankov
Название: Financial modelling with jump processes
ISBN: 1584884134 ISBN-13(EAN): 9781584884132
Издательство: Taylor&Francis
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Цена: 17609.00 р.
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Описание: Presents an overview of the theoretical, numerical, and empirical aspects of using jump processes in financial modeling. This book demonstrates that the concepts and tools necessary for understanding and implementing models with jumps can be more intuitive that those involved in the Black Scholes and diffusion models.

Marine Systems Identification, Modeling and Control

Автор: Tony Roskilly
Название: Marine Systems Identification, Modeling and Control
ISBN: 0080999964 ISBN-13(EAN): 9780080999968
Издательство: Elsevier Science
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Цена: 12801.00 р.
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Описание: Covers the theory and practice of dynamic systems and control for marine engineering students and professionals. Developed from a distance learning CPD course on marine control taught by the authors, this book presents the essentials of the subject, including system representation and transfer, feedback control and closed loop stability.

System Identification, Environmental Modelling, and Control System Design

Автор: Liuping Wang; Hugues Garnier
Название: System Identification, Environmental Modelling, and Control System Design
ISBN: 1447158458 ISBN-13(EAN): 9781447158455
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Dedicated to the pioneering Prof. Peter Young, this volume features cutting-edge research in systems and control subjects he has covered in 45 years of research, including system identification, time-series analysis, environmetric modelling and system design.

Modelling and Identification in Robotics

Автор: Krzysztof R. Kozlowski
Название: Modelling and Identification in Robotics
ISBN: 354076240X ISBN-13(EAN): 9783540762409
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Examines the topical, complex issues of modelling and identification in robotics. This book is devoted to robot dynamics modelling and identification of robot and load parameters, incorporating friction torques, discussing identification schemes, and offering simulations and experimental results of robot and load dynamic parameters identification.

Modelling and Identification with Rational Orthogonal Basis Functions

Автор: Peter S.C. Heuberger; Paul M.J. van den Hof; Bo Wa
Название: Modelling and Identification with Rational Orthogonal Basis Functions
ISBN: 1849969760 ISBN-13(EAN): 9781849969765
Издательство: Springer
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Цена: 20962.00 р.
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Описание:

Models of dynamical systems are of great importance in almost all fields of science and engineering and specifically in control, signal processing and information science. A model is always only an approximation of a real phenomenon so that having an approximation theory which allows for the analysis of model quality is a substantial concern. The use of rational orthogonal basis functions to represent dynamical systems and stochastic signals can provide such a theory and underpin advanced analysis and efficient modelling. It also has the potential to extend beyond these areas to deal with many problems in circuit theory, telecommunications, systems, control theory and signal processing.

Nine international experts have contributed to this work to produce thirteen chapters that can be read independently or as a comprehensive whole with a logical line of reasoning:

  • Construction and analysis of generalized orthogonal basis function model structure;
  • System Identification in a time domain setting and related issues of variance, numerics, and uncertainty bounding;
  • System identification in the frequency domain;
  • Design issues and optimal basis selection;
  • Transformation and realization theory.

Modelling and Identification with Rational Orthogonal Basis Functions affords a self-contained description of the development of the field over the last 15 years, furnishing researchers and practising engineers working with dynamical systems and stochastic processes with a standard reference work.

Modelling and Identification in Robotics

Автор: Krzysztof R. Kozlowski
Название: Modelling and Identification in Robotics
ISBN: 1447111397 ISBN-13(EAN): 9781447111399
Издательство: Springer
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Цена: 13974.00 р.
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Описание: The !first part is devoted to robot dynamics modelling and identification of robot and load parameters, incorporating friction torques, discussing identification schemes, and presenting simulations and experiment al results of robot and load dynamic parameters identification.

Modelling and Identification with Rational Orthogonal Basis Functions

Автор: Peter S.C. Heuberger; Paul M.J. van den Hof; Bo Wa
Название: Modelling and Identification with Rational Orthogonal Basis Functions
ISBN: 185233956X ISBN-13(EAN): 9781852339562
Издательство: Springer
Рейтинг:
Цена: 26122.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Models of dynamical systems are of great importance in almost all fields of science and engineering and specifically in control, signal processing and information science. A model is always only an approximation of a real phenomenon so that having an approximation theory which allows for the analysis of model quality is a substantial concern. The use of rational orthogonal basis functions to represent dynamical systems and stochastic signals can provide such a theory and underpin advanced analysis and efficient modelling. It also has the potential to extend beyond these areas to deal with many problems in circuit theory, telecommunications, systems, control theory and signal processing.

Nine international experts have contributed to this work to produce thirteen chapters that can be read independently or as a comprehensive whole with a logical line of reasoning:

  • Construction and analysis of generalized orthogonal basis function model structure;
  • System Identification in a time domain setting and related issues of variance, numerics, and uncertainty bounding;
  • System identification in the frequency domain;
  • Design issues and optimal basis selection;
  • Transformation and realization theory.

Modelling and Identification with Rational Orthogonal Basis Functions affords a self-contained description of the development of the field over the last 15 years, furnishing researchers and practising engineers working with dynamical systems and stochastic processes with a standard reference work.

Modelling and Identification of Dynamic Systems

Автор: N.K. Sinha; B. Kuszta
Название: Modelling and Identification of Dynamic Systems
ISBN: 0442281625 ISBN-13(EAN): 9780442281625
Издательство: Springer
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Цена: 23058.00 р.
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Practical Grey-box Process Identification

Автор: Torsten P. Bohlin
Название: Practical Grey-box Process Identification
ISBN: 1849965986 ISBN-13(EAN): 9781849965989
Издательство: Springer
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Цена: 25853.00 р.
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Описание: This book reviews the theoretical fundamentals of grey-box identification and puts the spotlight on MoCaVa, a MATLAB-compatible software tool, for facilitating the procedure of effective grey-box identification. It demonstrates the application of MoCaVa using two case studies drawn from the paper and steel industries.

Iterative Identification and Control

Автор: Pedro Albertos; Antonio Sala Piqueras
Название: Iterative Identification and Control
ISBN: 1447110986 ISBN-13(EAN): 9781447110989
Издательство: Springer
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Цена: 20962.00 р.
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Описание: An exposition of the interplay between the modelling of dynamic systems and the design of feedback controllers based on these models. The authors of individual chapters are some of the most renowned and authoritative figures in the fields of system identification and control design.


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