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Nature-Inspired Optimization Algorithms for Fuzzy Controlled Servo Systems /

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 representati...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Precup, Radu-Emil (Autor), David, Radu-Codrut (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Oxford, United Kingdom ; Cambridge, MA : Butterworth-Heinemann is an imprint of Elsevier, [2019]
Temas:
Acceso en línea:Texto completo

MARC

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020 |z 9780128163580  |q (paperback) 
020 |z 0128163585  |q (paperback) 
035 |a (OCoLC)1099200341  |z (OCoLC)1098034138  |z (OCoLC)1105948218  |z (OCoLC)1118513477 
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072 7 |a TEC  |x 009000  |2 bisacsh 
082 0 4 |a 629.8  |2 23 
100 1 |a Precup, Radu-Emil,  |e author. 
245 1 0 |a Nature-Inspired Optimization Algorithms for Fuzzy Controlled Servo Systems /  |c Radu-Emil precup, Radu-Codrut David. 
264 1 |a Oxford, United Kingdom ;  |a Cambridge, MA :  |b Butterworth-Heinemann is an imprint of Elsevier,  |c [2019] 
300 |a 1 online resource (vi, 142 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
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 0 |a Online resource; title from digital title page (viewed on June 27, 2019). 
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 
650 0 |a Intelligent control systems  |x Mathematical models. 
650 0 |a Control theory  |x Mathematical models. 
650 6 |a Commande intelligente  |0 (CaQQLa)201-0203115  |x Mod�eles math�ematiques.  |0 (CaQQLa)201-0379082 
650 6 |a Th�eorie de la commande  |0 (CaQQLa)201-0012168  |x Mod�eles math�ematiques.  |0 (CaQQLa)201-0379082 
650 7 |a TECHNOLOGY & ENGINEERING  |x Engineering (General)  |2 bisacsh 
650 7 |a Control theory  |x Mathematical models  |2 fast  |0 (OCoLC)fst00877089 
700 1 |a David, Radu-Codrut,  |e author. 
776 0 8 |i Print version:  |z 0128163585  |z 9780128163580  |w (OCoLC)1079001054 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780128163580  |z Texto completo