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Adaptive Neural Network Based Target Tracking. Adaptive Estimation for Control of Uncertain Nonlinear Systems with Applications to Target Tracking

Код 921695

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Аннотация к книге "Adaptive Neural Network Based Target Tracking. Adaptive Estimation for Control of Uncertain Nonlinear Systems with Applications to Target Tracking"

Design of nonlinear observers has received considerable attention since the early development of methods for linear state estimation. The most popular approach is the extended Kalman filter (EKF), that goes through significant degradation in the presence of nonlinearities, particularly if unmodeled dynamics are coupled to the process and measurement. For uncertain nonlinear systems, adaptive observers have been introduced to estimate the unknown parameters along with state variables. Over the...

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Издательство: Книга по требованию
Дата выхода: июль 2011
ISBN: 978-3-6390-1561-4
Объём: 196 страниц
Масса: 319 г
Размеры(высота, ширина, толщина), см: 23 x 16 x 1

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