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Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm
Oscar Castillo
€ 72.92
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Description for Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm
paperback. Series: SpringerBriefs in Applied Sciences and Technology. Num Pages: 72 pages, 9 black & white illustrations, 31 colour illustrations, biography. BIC Classification: PBKQ; PBKS; TJFM; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155. .
This book focuses on the fields of fuzzy logic, bio-inspired algorithm; especially bee colony optimization algorithm and also considering the fuzzy control area. The main idea is that this areas together can to solve various control problems and to find better results. In this book we test the proposed method using two benchmark problems; the problem for filling a water tank and the problem for controlling the trajectory in an autonomous mobile robot. When Interval Type-2 Fuzzy Logic System is implemented to model the behavior of systems, the results show a better stabilization, because the analysis of uncertainty is better. ... Read more
This book focuses on the fields of fuzzy logic, bio-inspired algorithm; especially bee colony optimization algorithm and also considering the fuzzy control area. The main idea is that this areas together can to solve various control problems and to find better results. In this book we test the proposed method using two benchmark problems; the problem for filling a water tank and the problem for controlling the trajectory in an autonomous mobile robot. When Interval Type-2 Fuzzy Logic System is implemented to model the behavior of systems, the results show a better stabilization, because the analysis of uncertainty is better. ... Read more
Product Details
Format
Paperback
Publication date
2017
Publisher
Springer International Publishing AG Switzerland
Number of pages
72
Condition
New
Series
SpringerBriefs in Applied Sciences and Technology
Number of Pages
71
Place of Publication
Cham, Switzerland
ISBN
9783319542942
SKU
V9783319542942
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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