ADAPTIVE NEURAL NETWORK BASED TARGET TRACKING: ADAPTIVE ESTIMATION FOR CONTROL OF UNCERTAIN NONLINEAR SYSTEMS WITH APPLICATIONS TO TARGET TRACKING - Brossura
Sinossi
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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L'autore
Venky Madyastha obtained his doctoral degree in the year 2005 from the school of aerospace engineering, Georgia Institute of Technology, USA. His doctoral research focussed on adaptive nonlinear state estimation for control of uncertain nonlinear systems. He is currently with the General Electric Global Research Center, Bangalore, India.
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ADAPTIVE NEURAL NETWORK BASED TARGET TRACKING
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VDM Verlag Dr. Müller, 2009
ISBN 10: 3639166949
ISBN 13: 9783639166941
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Madyastha VenkateshVenky Madyastha obtained his doctoral degree in the year 2005 nfrom the school of aerospace engineering, Georgia Institute of nTechnology, USA. His doctoral research focussed on adaptive nnonlinear state estimation. Codice articolo 4963469
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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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Taschenbuch. Condizione: Neu. Adaptive Neural Network Based Target Tracking | Adaptive Estimation For Control Of Uncertain Nonlinear Systems With Applications To Target Tracking | Venkatesh Madyastha | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639166941 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 101543168
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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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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9783639166941
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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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Paperback. Condizione: Brand New. 196 pages. 8.58x5.91x0.63 inches. In Stock. This item is printed on demand. Codice articolo 3639166949
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