Dynamics model abstraction scheme using radial basis functions

DOI10.1155/2012/761019zbMath1248.93018OpenAlexW2070008767WikidataQ58908024 ScholiaQ58908024MaRDI QIDQ446513

Antonio Cañas, Rodrigo Agís, Richard Carrillo, Silvia Tolu, Mauricio Vanegas

Publication date: 6 September 2012

Published in: Journal of Control Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2012/761019

zbMATH Keywords

robot manipulatoractive sensing strategiescontrol model for object manipulationmotor control and learningradial basis function (RBF) neural network: velocity-driven versus a dense position-driven control scheme.

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Application models in control theory (93C95)

Cites Work

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• Mobile robot path planning for fine‐grained and smooth path spcification
• Regularized orthogonal least squares algorithm for constructing radial basis function networks

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