| Description |
1 online resource (vi, 142 pages) : illustrations |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Bibliography |
Includes bibliographical references and index. |
| Summary |
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. |
| Note |
Online resource; title from digital title page (viewed on June 27, 2019). |
| Contents |
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.
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Control theory -- Mathematical models.
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Commande intelligente -- Modèles mathématiques.
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Théorie de la commande -- Modèles mathématiques.
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TECHNOLOGY & ENGINEERING -- Engineering (General)
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Control theory -- Mathematical models
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| Genre/Form |
Electronic books.
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| Added Author |
David, Radu-Codrut, author.
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| Other Form: |
Print version: 0128163585 9780128163580 (OCoLC)1079001054 |
| ISBN |
9780128166062 (electronic book) |
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0128166061 (electronic book) |
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9780128163580 (paperback) |
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0128163585 (paperback) |
| Standard No. |
AU@ 000065273609 |
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AU@ 000066135335 |
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