Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm (SpringerBriefs in Applied Sciences and Technology)

Leticia Amador

  • 出版商: Springer
  • 出版日期: 2017-05-05
  • 售價: $2,330
  • 貴賓價: 9.5$2,214
  • 語言: 英文
  • 頁數: 80
  • 裝訂: Paperback
  • ISBN: 331954294X
  • ISBN-13: 9783319542942
  • 相關分類: Algorithms-data-structures
  • 海外代購書籍(需單獨結帳)

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、生物啟發演算法(尤其是蜜蜂群最佳化演算法)以及模糊控制領域。主要觀點是這些領域的結合可以解決各種控制問題並獲得更好的結果。本書使用兩個基準問題進行了所提出方法的測試:水箱填充問題和自主移動機器人軌跡控制問題。當使用區間型二階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,因為對不確定性的分析更好。因此,本書考慮了使用模糊系統、模糊控制器和蜜蜂群最佳化演算法來改善複雜控制問題的行為。