The Foundations of Fuzzy Control, Harold W. Lewis

Автор: Zhang Huaguang, Liu Derong
Название: Fuzzy Modeling and Fuzzy Control
ISBN: 0817644911 ISBN-13(EAN): 9780817644918
Издательство: Springer
Рейтинг:
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.

Автор: Anant Agarwal
Название: Foundations of Analog and Digital Electronic Circuits,
ISBN: 1558607358 ISBN-13(EAN): 9781558607354
Издательство: Elsevier Science
Рейтинг:
Цена: 13304.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Computer systems are simply one type of electrical systems. Using the concept of "abstraction", this book attempts to unify electrical engineering and computer science as the art of creating and exploiting successive abstractions to manage the complexity of building useful electrical systems.

Автор: Petar V. Kokotovic
Название: Foundations of Adaptive Control
ISBN: 3540540202 ISBN-13(EAN): 9783540540205
Издательство: Springer
Рейтинг:
Цена: 16979.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The 1990 Grainger lectures delivered at the University of Illinois were devoted to a critical re-examination of the foundations of adaptive control. In this text, the lectures are expanded by recent developments and solutions to some long-standing open problems.

Автор: Lilly
Название: Fuzzy Control and Identification
ISBN: 0470542772 ISBN-13(EAN): 9780470542774
Издательство: Wiley
Рейтинг:
Цена: 16782.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.