Fuzzy Control of Industrial Systems, Ian S. Shaw

Автор: Dikai Liu; Lingfeng Wang; Kay Chen Tan (Eds.)
Название: Design and Control of Intelligent Robotic Systems
ISBN: 3540899324 ISBN-13(EAN): 9783540899327
Издательство: Springer
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Цена: 36570.00 р.
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Описание: With the increasing applications of intelligent robotic systems in various ?elds, the - sign and control of these systems have increasingly attracted interest from researchers.

Автор: Ian S. Shaw
Название: Fuzzy Control of Industrial Systems
ISBN: 1441950559 ISBN-13(EAN): 9781441950550
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Fuzzy Control of Industrial Systems: Theory and Applications presents the basic theoretical framework of crisp and fuzzy set theory, relating these concepts to control engineering based on the analogy between the Laplace transfer function of linear systems and the fuzzy relation of a nonlinear fuzzy system.

Автор: S.G. Tzafestas; Anastasios N. Venetsanopoulos
Название: Fuzzy Reasoning in Information, Decision and Control Systems
ISBN: 0792326431 ISBN-13(EAN): 9780792326434
Издательство: Springer
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Цена: 59256.00 р.
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Описание: Devoted to the study of fuzzy reasoning as applied to decision making and control processes. This book contains a collection of contributions covering a range of topics within the field. It is suitable for the researcher and practitioner, as well as for the teacher and student in related Master and Doctoral courses.

Автор: Hak-Keung Lam; Allen Leung
Название: Stability Analysis of Fuzzy-Model-Based Control Systems
ISBN: 3642422969 ISBN-13(EAN): 9783642422966
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Summarizing the latest work in the field, this book offers readers a number of approaches to designing stable and efficient FMB control systems, and includes detailed analysis and derivation steps to enable novices to follow the materials effectively.