Adaptive Control for Robotic Manipulators base on RBF Neural Network
نویسندگان
چکیده
منابع مشابه
Adaptive RBF network control for robot manipulators
TThe uncertainty estimation and compensation are challenging problems for the robust control of robot manipulators which are complex systems. This paper presents a novel decentralized model-free robust controller for electrically driven robot manipulators. As a novelty, the proposed controller employs a simple Gaussian Radial-Basis-Function Network as an uncertainty estimator. The proposed netw...
متن کاملadaptive rbf network control for robot manipulators
tthe uncertainty estimation and compensation are challenging problems for the robust control of robot manipulators which are complex systems. this paper presents a novel decentralized model-free robust controller for electrically driven robot manipulators. as a novelty, the proposed controller employs a simple gaussian radial-basis-function network as an uncertainty estimator. the proposed netw...
متن کاملAdaptive RBF network control for robot manipulators
The uncertainty estimation and compensation are challenging problems for the robust control of robot manipulators which are complex systems. This paper presents a novel decentralized model-free robust controller for electrically driven robot manipulators. As a novelty, the proposed controller employs a simple Gaussian Radial-Basis-Function network (RBF network) as an uncertainty estimator. The ...
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ژورنال
عنوان ژورنال: TELKOMNIKA (Telecommunication Computing Electronics and Control)
سال: 2013
ISSN: 2302-9293,1693-6930
DOI: 10.12928/telkomnika.v11i3.986