Adaptive Neural Network Based Target Tracking

Name: Adaptive Neural Network Based Target Tracking
Brand: VDM Verlag Dr. Müller
SKU: 9783639166941
Price: 350.24 RON
Availability: InStock

Adaptive Estimation For Control Of Uncertain Nonlinear Systems With Applications To Target Tracking

Autor: Venkatesh Madyastha

Limbă:

Legare: Carte broșată

Editura: VDM Verlag Dr. Müller

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Expediem în 17-27 zile

350.24 lei

Design of nonlinear observers has received §considerable attention since the early development §of m...

Informații despre carte

Autor

Venkatesh Madyastha

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2009

Pagini

196

EAN

9783639166941

Enbook ID

06825064

Editura

VDM Verlag Dr. Müller

Greutate

308

Dimensiuni

150 x 220 x 12

Descriere completă

Design of nonlinear observers has received §considerable attention since the early development §of methods for state estimation. The most §popular approach is the extended Kalman filter (EKF) §that goes through significant degradation in the §presence of unmodeled nonlinearities. For uncertain §nonlinear systems, adaptive observers have been §introduced to estimate the unknown parameters where §no apriori information about the unknown parameters §is available. While establishing global results, §these approaches are only applicable to systems §transformable to output feedback form. Over the §recent years, neural network (NN) based §identification and estimation schemes have been §proposed that relax the assumptions on the §system at the price of sacrificing on the global §nature of the results. However, most of the NN based §adaptive observers in the literature require §knowledge of the full dimension of the system, §therefore may not be suitable for systems with §unmodeled dynamics. A novel approach to nonlinear §state estimation, robust to unmodeled dynamics, is §proposed from the perspective of augmenting an EKF §with an NN based adaptive element.

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Adaptive Neural Network Based Target Tracking

Adaptive Estimation For Control Of Uncertain Nonlinear Systems With Applications To Target Tracking

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