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Nature-inspired optimization algorit...

Precup, Radu-Emil,

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Nature-inspired optimization algorithms for fuzzy controlled servo systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Nature-inspired optimization algorithms for fuzzy controlled servo systems/ Radu-Emil precup, Radu-Codrut David.
Author:	Precup, Radu-Emil,
other author:	David, Radu-Codrut,
Published:	Oxford, United Kingdom ;Butterworth-Heinemann is an imprint of Elsevier, : 2019.,
Description:	1 online resource (vi, 142 p.) :ill.
[NT 15003449]:	1. Introduction; 2. Nature-inspired algorithms for the optimal tuning of fuzzy controllers; 3. Adaptive nature-inspired algorithms for the optimal tuning of fuzzy controllers; 4. Hybrid nature-inspired algorithms for the optimal tuning of fuzzy controllers; 5. Conclusions
Subject:	Intelligent control systems - Mathematical models. -
Online resource:	https://www.sciencedirect.com/science/book/9780128163580
ISBN:	9780128166062 (electronic bk.)

Nature-inspired optimization algorithms for fuzzy controlled servo systems
Precup, Radu-Emil,

Nature-inspired optimization algorithms for fuzzy controlled servo systems[electronic resource] /Radu-Emil precup, Radu-Codrut David. - Oxford, United Kingdom ;Butterworth-Heinemann is an imprint of Elsevier,2019. - 1 online resource (vi, 142 p.) :ill.

Includes bibliographical references and index.

1. Introduction; 2. Nature-inspired algorithms for the optimal tuning of fuzzy controllers; 3. Adaptive nature-inspired algorithms for the optimal tuning of fuzzy controllers; 4. Hybrid nature-inspired algorithms for the optimal tuning of fuzzy controllers; 5. Conclusions

Nature-inspired Optimization Algorithms for Fuzzy Controlled Servo Systems explains fuzzy control in servo systems in a way that doesn't require any solid mathematical prerequisite. Analysis and design methodologies are covered, along with specific applications to servo systems and representative case studies. The theoretical approaches presented throughout the book are validated by the illustration of digital simulation and real-time experimental results. This book is a great resource for a wide variety of readers, including graduate students, engineers (designers, practitioners and researchers), and everyone who faces challenging control problems.

ISBN: 9780128166062 (electronic bk.)Subjects--Topical Terms:

2134993
Intelligent control systems
--Mathematical models.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: TJ217.5 / .P74 2019

Dewey Class. No.: 629.8

Nature-inspired optimization algorithms for fuzzy controlled servo systems
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300 $a 1 online resource (vi, 142 p.) : $b ill.
504 $a Includes bibliographical references and index.
505 0 $a 1. Introduction; 2. Nature-inspired algorithms for the optimal tuning of fuzzy controllers; 3. Adaptive nature-inspired algorithms for the optimal tuning of fuzzy controllers; 4. Hybrid nature-inspired algorithms for the optimal tuning of fuzzy controllers; 5. Conclusions
520 $a Nature-inspired Optimization Algorithms for Fuzzy Controlled Servo Systems explains fuzzy control in servo systems in a way that doesn't require any solid mathematical prerequisite. Analysis and design methodologies are covered, along with specific applications to servo systems and representative case studies. The theoretical approaches presented throughout the book are validated by the illustration of digital simulation and real-time experimental results. This book is a great resource for a wide variety of readers, including graduate students, engineers (designers, practitioners and researchers), and everyone who faces challenging control problems.
588 $a Description based on online resource; title from digital title page (viewed on June 27, 2019).
650 0 $a Intelligent control systems $x Mathematical models. $3 2134993
650 0 $a Control theory $x Mathematical models. $3 768552
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