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Fuzzy Modeling and Control of Uncertain Nonlinear Systems, Wen Yu, Raheleh Jafari


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Автор: Wen Yu, Raheleh Jafari
Название:  Fuzzy Modeling and Control of Uncertain Nonlinear Systems
ISBN: 9781119491552
Издательство: Wiley
Классификация:





ISBN-10: 111949155X
Обложка/Формат: Hardback
Страницы: 208
Вес: 0.46 кг.
Дата издания: 03.09.2019
Серия: Ieee press series on systems science and engineering
Язык: English
Размер: 236 x 152 x 15
Читательская аудитория: Professional & vocational
Ключевые слова: Mathematics,Electronics & communications engineering
Основная тема: Mathematics,Electronics & communications engineering
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание:

An original, systematic-solution approach to uncertain nonlinear systems control and modeling using fuzzy equations and fuzzy differential equations

There are various numerical and analytical approaches to the modeling and control of uncertain nonlinear systems. Fuzzy logic theory is an increasingly popular method used to solve inconvenience problems in nonlinear modeling. Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number presents a structured approach to the control and modeling of uncertain nonlinear systems in industry using fuzzy equations and fuzzy differential equations.

The first major work to explore methods based on neural networks and Bernstein neural networks, this innovative volume provides a framework for control and modeling of uncertain nonlinear systems with applications to industry. Readers learn how to use fuzzy techniques to solve scientific and engineering problems and understand intelligent control design and applications. The text assembles the results of four years of research on control of uncertain nonlinear systems with dual fuzzy equations, fuzzy modeling for uncertain nonlinear systems with fuzzy equations, the numerical solution of fuzzy equations with Z-numbers, and the numerical solution of fuzzy differential equations with Z-numbers. Using clear and accessible language to explain concepts and principles applicable to real-world scenarios, this book:

  • Presents the modeling and control of uncertain nonlinear systems with fuzzy equations and fuzzy differential equations
  • Includes an overview of uncertain nonlinear systems for non-specialists
  • Teaches readers to use simulation, modeling and verification skills valuable for scientific research and engineering systems development
  • Reinforces comprehension with illustrations, tables, examples, and simulations

Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number is suitable as a textbook for advanced students, academic and industrial researchers, and practitioners in fields of systems engineering, learning control systems, neural networks, computational intelligence, and fuzzy logic control.



Fuzzy Modeling and Fuzzy Control

Автор: Zhang Huaguang, Liu Derong
Название: Fuzzy Modeling and Fuzzy Control
ISBN: 0817644911 ISBN-13(EAN): 9780817644918
Издательство: Springer
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Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Fuzzy logic methodology is effective in dealing with complex nonlinear systems containing uncertainties that are tough to model. Technology based on this methodology has been applied to real-world problems, especially in consumer products. This book presents treatment of fuzzy modeling and fuzzy control, offering tools for control of such systems.

Modeling and adaptive nonlinear control of electric motors

Автор: Khorrami, F. Krishnamurthy, Prashant Melkote, H.
Название: Modeling and adaptive nonlinear control of electric motors
ISBN: 3642056679 ISBN-13(EAN): 9783642056673
Издательство: Springer
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Цена: 32651.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This research monograph considers modelling and control design of electric motors, namely step motors, brushless DC motors and induction motors. The book reports new global robust adaptive designs for motors and provides new tools for control designs, with an emphasis on stepper motors.

Dynamic Surface Control of Uncertain Nonlinear Systems

Автор: Bongsob Song; J. Karl Hedrick
Название: Dynamic Surface Control of Uncertain Nonlinear Systems
ISBN: 1447126556 ISBN-13(EAN): 9781447126553
Издательство: Springer
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Цена: 16977.00 р.
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Описание: This rigorous and practical introduction to nonlinear control design was written by the creators of the dynamic surface control algorithm. It discusses a range of problems including DSC design, output feedback, input saturation and fault-tolerant control.

Modeling, Simulation and Control of Nonlinear Engineering Dynamical Systems

Автор: Jan Awrejcewicz
Название: Modeling, Simulation and Control of Nonlinear Engineering Dynamical Systems
ISBN: 904817984X ISBN-13(EAN): 9789048179848
Издательство: Springer
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Цена: 26120.00 р.
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Описание: Contains the invited papers presented at the 9th International Conference `Dynamical Systems - Theory and Applications` held in Lodz, Poland, December 17-20, 2007, dealing with nonlinear dynamical systems. This book is of interest to pure and applied scientists working in the field of nonlinear dynamics.

Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics

Автор: Na, Jing
Название: Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics
ISBN: 0128136839 ISBN-13(EAN): 9780128136836
Издательство: Elsevier Science
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Цена: 20717.00 р.
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Описание: Adaptive Identification and Control of Uncertain Systems with Nonsmooth Dynamics reports some of the latest research on modeling, identification and adaptive control for systems with nonsmooth dynamics (e.g., backlash, dead zone, friction, saturation, etc). The authors present recent research results for the modelling and control designs of uncertain systems with nonsmooth dynamics, such as friction, dead-zone, saturation and hysteresis, etc., with particular applications in servo systems. The book is organized into 19 chapters, distributed in five parts concerning the four types of nonsmooth characteristics, namely friction, dead-zone, saturation and hysteresis, respectively. Practical experiments are also included to validate and exemplify the proposed approaches. . . This valuable resource can help both researchers and practitioners to learn and understand nonlinear adaptive control designs. Academics, engineers and graduate students in the fields of electrical engineering, control systems, mechanical engineering, applied mathematics and computer science can benefit from the book. It can be also used as a reference book on adaptive control for servo systems for students with some background in control engineering.

Modeling and Control in Air-conditioning Systems

Автор: Ye Yao
Название: Modeling and Control in Air-conditioning Systems
ISBN: 3662533111 ISBN-13(EAN): 9783662533116
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book investigates the latest modeling and control technologies in the context of air-conditioning systems. Firstly, it introduces the state-space method for developing dynamic models of all components in a central air-conditioning system. The models are primarily nonlinear and based on the fundamental principle of energy and mass conservation, and are transformed into state-space form through linearization. The book goes on to describe and discuss the state-space models with the help of graph theory and the structure-matrix theory.Subsequently, virtual sensor calibration and virtual sensing methods (which are very useful for real system control) are illustrated together with a case study. Model-based predictive control and state-space feedback control are applied to air-conditioning systems to yield better local control, while the air-side synergic control scheme and a global optimization strategy based on the decomposition-coordination method are developed so as to achieve energy conservation in the central air-conditioning system. Lastly, control strategies for VAV systems including total air volume control and trim & response static pressure control are investigated in practice.

Stabilization of Nonlinear Uncertain Systems

Автор: Miroslav Krstic; Hua Deng
Название: Stabilization of Nonlinear Uncertain Systems
ISBN: 1852330201 ISBN-13(EAN): 9781852330200
Издательство: Springer
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Цена: 16979.00 р.
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Output Regulation of Uncertain Nonlinear Systems

Автор: Christopher I. Byrnes; Francesco Delli Priscoli; A
Название: Output Regulation of Uncertain Nonlinear Systems
ISBN: 1461273846 ISBN-13(EAN): 9781461273844
Издательство: Springer
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Цена: 13974.00 р.
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Output Regulation of Uncertain Nonlinear Systems

Автор: Christopher I. Byrnes; Francesco Delli Priscoli; A
Название: Output Regulation of Uncertain Nonlinear Systems
ISBN: 0817639977 ISBN-13(EAN): 9780817639976
Издательство: Springer
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Цена: 18167.00 р.
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Описание: The problem of controlling the output of a system so as to achieve asymptotic tracking of prescribed trajectories and/or asymptotic re- jection of undesired disturbances is a central problem in control the- ory.


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