Design of Fuzzy Learning Compensators and Controllers for Autonomous. Redundant Robot Manipulators

Ranjan Vepa (Dr.), Ann Nowé
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引用次数: 2

Abstract

In this paper we present two techniques for learning rules for implementing fuzzy controllers. the first of which is based on the application of a suitable control strategy. The second seeks to generate the appropriate control rules to drive the plant towards the desired response. Both techniques are discussed in the context of their application to robot manipulators.

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自主模糊学习补偿器和控制器的设计。冗余机械手
在本文中,我们提出了两种学习规则的技术来实现模糊控制器。第一个是基于一个合适的控制策略的应用。第二种方法是生成适当的控制规则,以驱动工厂达到预期的反应。这两种技术都在其应用于机器人操纵器的背景下进行了讨论。
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