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Nonlinear system identification using Lyapunov based fully tuned dynamic RBF networks

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Publication:1857537
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DOI10.1023/A:1026571426761zbMath1008.68710OpenAlexW1605582084MaRDI QIDQ1857537

Li Yan, P. Saratchandran, Narasimhan Sundararajan

Publication date: 19 February 2003

Published in: Neural Processing Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1026571426761


zbMATH Keywords

neural networkLyapunov stability theorynonlinear dynamic systemGrowing and Pruning (GAP)Radial Basis Function (RBF) networkstable identification


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies and applications (68U99)


Related Items (1)

DETERMINISTIC LEARNING OF NONLINEAR DYNAMICAL SYSTEMS







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