A 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 |
Language: | English |
Published: |
ieee
2000
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/2294/1/Hussein2000__HybridIntelligentActiveForceController.pdf http://eprints.utm.my/id/eprint/2294/ |
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Institution: | Universiti Teknologi Malaysia |
Language: | English |