Approximation of Gaussian basis functions in the problem of adaptive control of nonlinear objects

DOI10.1007/S10559-011-9285-7zbMath1297.93104OpenAlexW2057907523MaRDI QIDQ464835

R. A. Sunna, O. G. Rudenko, A. S. Liashenko, A. A. Bezsonov

Publication date: 30 October 2014

Published in: Cybernetics and Systems Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10559-011-9285-7

zbMATH Keywords

identificationadaptive controlneural networklearningtrainingbasis functionnonlinear object

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40)

Cites Work

• Real-time identification of nonlinear time-varying systems using radial basis function network
• Adaptive control of multidimensional nonlinear objects on the basis of radial-basis networks
• Decentralized adaptive control of nonlinear systems using radial basis neural networks

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