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 ADAPTIVE ESTIMATION FOR CONTROL OF UNCERTAIN NONLINEAR SYSTEMS WITH APPLICATIONS TO TARGET TRACKING ADAPTIVE NEURAL NETWORK BASED TARGET TRACKING.
Наименование:

ADAPTIVE ESTIMATION FOR CONTROL OF UNCERTAIN NONLINEAR SYSTEMS WITH APPLICATIONS TO TARGET TRACKING ADAPTIVE NEURAL NETWORK BASED TARGET TRACKING.

автор Venkatesh M. издательство Книга по Требованию Дерматовенерология
Cтраниц 196        мягкая обложка       
Аннотация:The most popular approach is the extended Kalman filter (EKF) that goes through significant degradation in the presence of unmodeled nonlinearities. While establishing global results, these approaches are only applicable to systems transformable to output feedback form. 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. Design of nonlinear observers has received considerable attention since the early development of methods for state estimation. For uncertain nonlinear systems, adaptive observers have been introduced to estimate the unknown parameters where no apriori information about the unknown parameters is available. 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. 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.
Автор: Venkatesh M.
Издательство: Книга по Требованию
Год:2009
Цена:
2746 руб
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Поиск: ADAPTIVE ESTIMATION FOR CONTROL OF UNCERTAIN NONLINEAR SYSTEMS WITH APPLICATIONS TO TARGET TRACKING ADAPTIVE NEURAL NETWORK BASED TARGET TRACKING.


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