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

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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