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

โœ Scribed by Yingwei, L.; Sundararajan, N.; Saratchandran, P.


Book ID
114449727
Publisher
The Institution of Electrical Engineers
Year
1997
Tongue
English
Weight
804 KB
Volume
144
Category
Article
ISSN
1350-2379

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An on-line identification scheme using Volterra polynomial basis function (VPBF) neural networks is considered for nonlinear control systems. This comprises a structure selection procedure and a recursive weight learning algorithm. The orthogonal least-squares algorithm is introduced for off-line st