Rotorcraft parameter estimation using radial basis function neural network

Increased emphasis on rotorcraft performance and operational capabilities has resulted in accurate computation of aerodynamic stability and control parameters. System identification is one such tool in which the model structure and parameters such as aerodynamic stability and control derivatives are...

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Veröffentlicht in:	Applied mathematics and computation 2010-03, Vol.216 (2), p.584-597
Hauptverfasser:	Kumar, Rajan, Ganguli, Ranjan, Omkar, S.N.
Format:	Artikel
Sprache:	eng
Schlagworte:	Aerodynamic stability Computation Derivatives Exact sciences and technology Mathematical analysis Mathematical models Mathematics Neural networks Numerical analysis Numerical analysis. Scientific computation Numerical approximation Numerical differentiation Parameter estimation Radial basis function Rotorcraft Sciences and techniques of general use System identification
Online-Zugang:	Volltext
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