Isbn: 9783659953262 - application of nonlinear estimators for tracking space vehicles: performance analysis of nonlinear estimators for tracking free fall body and launch vehicle trajectory (8 risultati)

Condizione: New.

Taschenbuch. Condizione: Neu. Application of Nonlinear Estimators for Tracking Space vehicles | Performance Analysis of Nonlinear Estimators for Tracking Free Fall Body and Launch Vehicle Trajectory | Leela Kumari Balivada (u. a.) | Taschenbuch | 132 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659953262 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Estimation Theory has been a fundamental tool in the fields like communications; Signal processing, Ocean and Space research and Biomedical Engineering etc. Many problems in Science and Engineering require estimation of the states of system that change over time, using a sequence of noisy measurements made on that system. For example, estimating the states of an arbitrary satellite, estimating the target motion parameters in the ocean environment and so on. State estimation theory is 'one of the best mathematical practices to analyse the variants in the states of the system or process' and this approach is used to generate the optimal estimate of the true state of the system. The state estimation processes may be Linear or Nonlinear based on the dynamics of the system and observation models. In this book, the performance is analysed and compared for various nonlinear state space estimation models using decision based filters (Single model filters) for tracking applications. 132 pp. Englisch.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Balivada Leela KumariDr.Leela Kumari Balivada received B.Tech from JNTUH in E.C.E, M.Tech from A.U. in R&M and Ph.D from JNTUK,in Communications. She is Assistant Professor of E.C.E department, UCEK, JNTUK, Kakinada. Her research in.…

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Estimation Theory has been a fundamental tool in the fields like communications; Signal processing, Ocean and Space research and Biomedical Engineering etc. Many problems in Science and Engineering require estimation of the states of system that change over time, using a sequence of noisy measurements made on that system. For example, estimating the states of an arbitrary satellite, estimating the target motion parameters in the ocean environment and so on. State estimation theory is 'one of the best mathematical practices to analyse the variants in the states of the system or process' and this approach is used to generate the optimal estimate of the true state of the system. The state estimation processes may be Linear or Nonlinear based on the dynamics of the system and observation models. In this book, the performance is analysed and compared for various nonlinear state space estimation models using decision based filters (Single model filters) for tracking applications.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 132 pp. Englisch.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Estimation Theory has been a fundamental tool in the fields like communications; Signal processing, Ocean and Space research and Biomedical Engineering etc. Many problems in Science and Engineering require estimation of the states of system that change over time, using a sequence of noisy measurements made on that system. For example, estimating the states of an arbitrary satellite, estimating the target motion parameters in the ocean environment and so on. State estimation theory is 'one of the best mathematical practices to analyse the variants in the states of the system or process' and this approach is used to generate the optimal estimate of the true state of the system. The state estimation processes may be Linear or Nonlinear based on the dynamics of the system and observation models. In this book, the performance is analysed and compared for various nonlinear state space estimation models using decision based filters (Single model filters) for tracking applications.…