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Identification of time-varying nonlinear systems using minimal radial basis function neural networks

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Publication:4349123
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DOI10.1049/ip-cta:19970891zbMath0875.93073OpenAlexW2061020129MaRDI QIDQ4349123

L. Yingwei, Narasimhan Sundararajan, P. Saratchandran

Publication date: 9 November 1997

Published in: IEE Proceedings - Control Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1049/ip-cta:19970891



Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) System identification (93B30)


Related Items (4)

On-line RBFNN based identification of rapidly time-varying nonlinear systems with optimal structure-adaptation. ⋮ Identification of nonlinear discrete-time systems using raised-cosine radial basis function networks ⋮ Greenhouse temperature modeling: A comparison between sigmoid neural networks and hybrid models ⋮ Intelligent control for a remotely operated vehicle




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