LEARNING
STUDY OF FUZZY CMAC NEURAL NETWORK BASED ADAPTIVE FORCE CONTROL OF PARALLEL ROBOTS
Lining Sun
- Year
- 1999
- Citations
- 2
Abstract
This paper introduces a kind of Takagi type fuzzy reasoning based fuzzy CMAC neural network and analyzes its learning algorithm. We have designed an adaptive force controller for parallel robots based on the neural network mentioned above. Simulation and experiment both prove that the controller we designed is feasible and effective.
Keywords
Computer scienceArtificial neural networkController (irrigation)RobotFuzzy logicNeuro-fuzzyControl theory (sociology)Fuzzy control systemAdaptive controlAdaptive neuro fuzzy inference system
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