Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm (SpringerBriefs in Applied Sciences and Technology)
暫譯: 使用蜜蜂群算法優化二型模糊控制器 (SpringerBriefs in Applied Sciences and Technology)
Leticia Amador
- 出版商: Springer
- 出版日期: 2017-05-05
- 售價: $2,420
- 貴賓價: 9.5 折 $2,299
- 語言: 英文
- 頁數: 80
- 裝訂: Paperback
- ISBN: 331954294X
- ISBN-13: 9783319542942
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相關分類:
Algorithms-data-structures
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相關主題
商品描述
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.
商品描述(中文翻譯)
本書專注於模糊邏輯和生物啟發演算法的領域,特別是蜜蜂群體優化演算法,同時考慮模糊控制領域。主要思想是這些領域可以共同解決各種控制問題並找到更好的結果。在本書中,我們使用兩個基準問題來測試所提出的方法;一個是填充水箱的問題,另一個是控制自主移動機器人軌跡的問題。當實施區間型二模糊邏輯系統來建模系統行為時,結果顯示出更好的穩定性,因為不確定性的分析更為出色。因此,我們在本書中考慮使用模糊系統、模糊控制器和蜜蜂群體優化演算法的提議方法,以改善複雜控制問題的行為。