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Fuzzy Logic, Identification and Predictive Control, Jairo Jose Espinosa Oviedo; Joos P.L. Vandewalle;


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Автор: Jairo Jose Espinosa Oviedo; Joos P.L. Vandewalle;
Название:  Fuzzy Logic, Identification and Predictive Control
ISBN: 9781849969314
Издательство: Springer
Классификация: ISBN-10: 1849969310
Обложка/Формат: Paperback
Страницы: 264
Вес: 0.40 кг.
Дата издания: 21.10.2010
Серия: Advances in Industrial Control
Язык: English
Размер: 234 x 156 x 15
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding judgement rather than simple yes/no, on/off responses: circumstances where a linguistic description is often more relevant than a cut-and-dried numerical one. The ability of fuzzy systems to handle numeric and linguistic information within a single framework renders them efficacious for this purpose.

Fuzzy Logic, Identification and Predictive Control first shows you how to construct static and dynamic fuzzy models using the numerical data from a variety of real industrial systems and simulations. The second part exploits such models to design control systems employing techniques like data mining.

This monograph presents a combination of fuzzy control theory and industrial serviceability that will make a telling contribution to your research whether in the academic or industrial sphere and also serves as a fine roundup of the fuzzy control area for the graduate student.




Model Predictive Control

Автор: Camacho
Название: Model Predictive Control
ISBN: 1852336943 ISBN-13(EAN): 9781852336943
Издательство: Springer
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Цена: 9781.00 р.
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Описание: The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners.

Predictive Approaches to Control of Complex Systems

Автор: Gorazd Karer; Igor ?krjanc
Название: Predictive Approaches to Control of Complex Systems
ISBN: 3642439772 ISBN-13(EAN): 9783642439773
Издательство: Springer
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Цена: 16977.00 р.
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Описание: This book presents control of time-delayed, unstable, multivariable processes and modelling approaches for several classes of complex systems. It places special emphasis on hybrid systems with distinct nonlinearities.

Comprehensive Energy Management - Safe Adaptation, Predictive Control and Thermal Management

Автор: Daniel Watzenig; Bernhard Brandst?tter
Название: Comprehensive Energy Management - Safe Adaptation, Predictive Control and Thermal Management
ISBN: 3319574442 ISBN-13(EAN): 9783319574448
Издательство: Springer
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Цена: 7685.00 р.
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Описание:

The book discusses the emerging topic of comprehensive energy management in electric vehicles from the viewpoint of academia and from the industrial perspective. It provides a seamless coverage of all relevant systems and control algorithms for comprehensive energy management, their integration on a multi-core system and their reliability assurance (validation and test). Relevant European projects contributing to the evolvement of comprehensive energy management in fully electric vehicles are also included.

This volume includes contributions on model based functional safety and fault-tolerant E/E architectures, advanced control making use of external information (from a cloud) as well and thermal management as a central part for energy optimization and finally some aspects on fuel cells.

The second volume (ISBN .....) includes chapters on ECO driving and ECO routing covering different approaches for optimal speed profiles for a given route (mostly interconnecting with cloud data).

Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies

Автор: Kelleher John D., Macnamee Brian, D`Arcy Aoife
Название: Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies
ISBN: 0262029448 ISBN-13(EAN): 9780262029445
Издательство: MIT Press
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Цена: 13543.00 р.
Наличие на складе: Нет в наличии.

Описание:

A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.

Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context.

After discussing the trajectory from data to insight to decision, the book describes four approaches to machine learning: information-based learning, similarity-based learning, probability-based learning, and error-based learning. Each of these approaches is introduced by a nontechnical explanation of the underlying concept, followed by mathematical models and algorithms illustrated by detailed worked examples. Finally, the book considers techniques for evaluating prediction models and offers two case studies that describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book, informed by the authors' many years of teaching machine learning, and working on predictive data analytics projects, is suitable for use by undergraduates in computer science, engineering, mathematics, or statistics; by graduate students in disciplines with applications for predictive data analytics; and as a reference for professionals.

Predictive Analytics for Human Resources

Автор: Jac Fitz?€“enz,John Mattox II
Название: Predictive Analytics for Human Resources
ISBN: 1118893670 ISBN-13(EAN): 9781118893678
Издательство: Wiley
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Цена: 6178.00 р.
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Описание: Create and run a human resource analytics project with confidence For any human resource professional that wants to harness the power of analytics, this essential resource answers the questions: "Where do I start?" and "What tools are available?" Predictive Analytics for Human Resources is designed to answer these and other vital questions.

Predictive Modeling Applications in Actuarial Science

Автор: Frees
Название: Predictive Modeling Applications in Actuarial Science
ISBN: 1107029872 ISBN-13(EAN): 9781107029873
Издательство: Cambridge Academ
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Цена: 11246.00 р.
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Описание: This book is for actuaries and financial analysts developing their expertise in statistics and who wish to become familiar with concrete examples of predictive modeling.

Hybrid Predictive Control for Dynamic Transport Problems

Автор: Alfredo Nunez; Doris Saez; Cristi?n E. Cort?s
Название: Hybrid Predictive Control for Dynamic Transport Problems
ISBN: 1447159403 ISBN-13(EAN): 9781447159407
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book develops methods for the design of predictive control strategies for nonlinear-dynamic hybrid discrete-/continuous-variable systems. The methodology is designed for real-time applications, particularly the study of dynamic transport systems.

Model Predictive Control in the Process Industry

Автор: Eduardo F. Camacho; Carlos A. Bordons
Название: Model Predictive Control in the Process Industry
ISBN: 1447130103 ISBN-13(EAN): 9781447130109
Издательство: Springer
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Цена: 13060.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Predictive Process Control of Crowded Particulate Suspensions

Автор: James E. Funk; Dennis R. Dinger
Название: Predictive Process Control of Crowded Particulate Suspensions
ISBN: 1461363640 ISBN-13(EAN): 9781461363644
Издательство: Springer
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Цена: 65305.00 р.
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Automotive Model Predictive Control

Автор: Luigi Del Re; Frank Allg?wer; Luigi Glielmo; Carlo
Название: Automotive Model Predictive Control
ISBN: 1849960704 ISBN-13(EAN): 9781849960700
Издательство: Springer
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Цена: 20896.00 р.
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Описание: The proceedings of the Automotive Model Predictive Control: Models, Methods and Applications workshop investigates whether constrained predictive control is reasonable in automotive control and what is necessary for its application.

Model Predictive Vibration Control

Автор: Gergely Tak?cs; Boris Roha?-Ilkiv
Название: Model Predictive Vibration Control
ISBN: 144716072X ISBN-13(EAN): 9781447160724
Издательство: Springer
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Цена: 28732.00 р.
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Описание: With more than 170 illustrations, this volume provides vital insights into the predictive control of lightly damped vibrating structures through efficient algorithms capable of low-frequency vibration control, guaranteed stability and constraint feasibility.

Distributed Model Predictive Control Made Easy

Автор: Jos? M. Maestre; Rudy R. Negenborn
Название: Distributed Model Predictive Control Made Easy
ISBN: 9402407146 ISBN-13(EAN): 9789402407143
Издательство: Springer
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Цена: 18284.00 р.
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Описание: This book provides a state-of-the-art overview of distributed model predictive control (MPC) approaches. It carefully explains the core and rationale of 35 approaches, providing detailed step-by-step algorithmic descriptions of each approach.


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