| 書目名稱 | Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm |
| 編輯 | Leticia Amador,Oscar Castillo |
| 視頻video | http://file.papertrans.cn/704/703302/703302.mp4 |
| 概述 | Focuses on the fields of fuzzy logic, bio-inspired algorithm; especially bee colony optimization algorithm.Serves as reference for scientists and engineers interested in applying fuzzy logic technique |
| 叢書名稱 | SpringerBriefs in Applied Sciences and Technology |
| 圖書封面 |  |
| 描述 | 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. For this reason we consider in this book the proposed method using fuzzy systems, fuzzy controllers, and bee colony optimization algorithm improve the behavior of the complex control problems. |
| 出版日期 | Book 2017 |
| 關(guān)鍵詞 | Computational Intelligence; Fuzzy Logic; Bio-inspired Algorithm; Bee Colony Optimization Algorithm; Fuzz |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-54295-9 |
| isbn_softcover | 978-3-319-54294-2 |
| isbn_ebook | 978-3-319-54295-9Series ISSN 2191-530X Series E-ISSN 2191-5318 |
| issn_series | 2191-530X |
| copyright | The Author(s) 2017 |
|Archiver|手機版|小黑屋|
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