fuzzy logic based motion control 基于模糊逻辑的运动控制
This thesis focuses on the intelligent control strategies based on fuzzy logic and neural networks and its application in motion control.
本文的研究内容是基于模糊逻辑和人工神经网络的智能控制策略及其在运动控制中的应用。
Fuzzy logic based motion control approach was proposed, using sensor fusion for robot local location, aimed at the requirement of stability and safety for articulated mobile robot moving on slope.
本文针对关节式移动机器人在斜面上运动时稳定性和安全性的要求对其进行动力学分析，利用传感器融合技术对机器人进行局部定位，提出了它的基于模糊逻辑的控制策略。
This article will illustrate an interface of robots behavior and a design of on-board motion control system for service robots, which is used in walker aid robotic based on fuzzy logic control.
本文重点对助行机器人行为识别接口及运动控制系统进行了设计，并将其用于基于模糊控制的助行机器人。
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