Hybrid intelligent active force controller for robot arms using evolutionary neural networks
In this paper, we propose a hybrid intelligent parameter estimator for the active force control (AFC) scheme which utilizes evolutionary computation (EC) and artificial neural networks (ANN) to control a rigid robot arm. The EC part of the algorithm composes of a hybrid genetic algorithm (GA) and an...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
IEEE, Piscataway, NJ, United States
2000
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/7086/ http://ieeexplore.ieee.org/document/870284/ |
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