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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795819/ https://www.ncbi.nlm.nih.gov/pubmed/29361781 http://dx.doi.org/10.3390/s18010315 |