Nonlinear dynamic surface control of chaos in permanent magnet synchronous motor based on the minimum weights of RBF neural network

DOI10.1155/2014/609340zbMath1406.93168OpenAlexW2073616207WikidataQ59039911 ScholiaQ59039911MaRDI QIDQ1724516

Shaohua Luo

Publication date: 14 February 2019

Published in: Abstract and Applied Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/609340

zbMATH Keywords

permanent magnet synchronous motorRBF neural networknonlinear adaptive chaos control

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Control/observation systems governed by ordinary differential equations (93C15) Chaos control for problems involving ordinary differential equations (34H10)

Related Items (1)

Adaptive chaos synchronization control of nonlinear PMSM system using extended state observer

Cites Work

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