An Inverse Neural Controller Based on the Applicability Domain of RBF Network Models

An Inverse Neural Controller Based on the Applicability Domain of RBF Network Models

This paper presents a novel methodology of generic nature for controlling nonlinear systems, using inverse radial basis function neural network models, which may combine diverse data originating from various sources. The algorithm starts by applying the particle swarm optimization-based non-symmetri...

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Bibliographic Details
Main Authors: Alex Alexandridis, Marios Stogiannos, Nikolaos Papaioannou, Elias Zois, Haralambos Sarimveis
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Sensors
Subjects:
applicability domain
data fusion
intelligent control
neural networks
radial basis function
Online Access:http://www.mdpi.com/1424-8220/18/1/315

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http://www.mdpi.com/1424-8220/18/1/315

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