http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Nature-Inspired Optimization Algorithms for Fuzzy Controlled Servo Systems
1 online resource (vi, 142 pages) : illustrations
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.
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
Includes bibliographical references and index.