Evolutionary Design of Fuzzy Controllers Based on Messy Coding for a Miniature Mobile Robot

Rodney A. Gomez, Katherine Lugo, Eric Vallejo
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引用次数: 1

Abstract

The design of fuzzy controllers for mobile robots navigation in different environments has been considered a difficult task for a long time. In this paper, an evolutionary strategy is developed in which a genetic algorithm builds the rules base of a fuzzy controller during training sessions. The potential of the scheme has been shown in the simulated and real Khepera robot
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基于混沌编码的微型移动机器人模糊控制器进化设计
长期以来,模糊控制器的设计一直是移动机器人在不同环境下导航的难点。本文提出了一种进化策略,利用遗传算法在训练过程中建立模糊控制器的规则库。仿真和实际的Khepera机器人验证了该方案的可行性
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