Isbn: 9783847306825 - linear time-varying system identification: different approaches (6 resultados)

Taschenbuch. Condición: Neu. Linear Time-Varying System Identification | Different Approaches | Vinayak Asutkar (u. a.) | Taschenbuch | 160 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783847306825 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Physical phenomena exhibit time-varying behaviour for number of reasons, mainly due to the variation of internal and external operating conditions. There exists large number of really challenging applications of linear time-varying system identification in different areas. For instance, telecommunications, signal processing and automatic control are some of the areas of applications where linear time-varying system identification has been extensively used. We find tremendous applications of system identification and modeling in the fields like chemical process, socioeconomic system, electric systems, hydrology, aeronautics, seismology, ecology, transportation, mechanical, structural engineering, life sciences and many more. In this book, different approaches for the identification of linear time-varying systems such as optimized forgetting factor approach, Kalman filter approach, combination of basis function and forgetting factor approach, and wavelet based approach have been presented. 160 pp. Englisch.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Asutkar VinayakPh.D., SRTMU, Nanded, Associate Professor of Instrumentation Engineering at SGGS Institute of Engineering and Technology, Nanded, India.Balasaheb Patre, Ph. D., IIT, Bombay,Professor of Instrumentation Engineering at S. …

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Physical phenomena exhibit time-varying behaviour for number of reasons, mainly due to the variation of internal and external operating conditions. There exists large number of really challenging applications of linear time-varying system identification in different areas. For instance, telecommunications, signal processing and automatic control are some of the areas of applications where linear time-varying system identification has been extensively used. We find tremendous applications of system identification and modeling in the fields like chemical process, socioeconomic system, electric systems, hydrology, aeronautics, seismology, ecology, transportation, mechanical, structural engineering, life sciences and many more. In this book, different approaches for the identification of linear time-varying systems such as optimized forgetting factor approach, Kalman filter approach, combination of basis function and forgetting factor approach, and wavelet based approach have been presented.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 160 pp. Englisch.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Physical phenomena exhibit time-varying behaviour for number of reasons, mainly due to the variation of internal and external operating conditions. There exists large number of really challenging applications of linear time-varying system identification in different areas. For instance, telecommunications, signal processing and automatic control are some of the areas of applications where linear time-varying system identification has been extensively used. We find tremendous applications of system identification and modeling in the fields like chemical process, socioeconomic system, electric systems, hydrology, aeronautics, seismology, ecology, transportation, mechanical, structural engineering, life sciences and many more. In this book, different approaches for the identification of linear time-varying systems such as optimized forgetting factor approach, Kalman filter approach, combination of basis function and forgetting factor approach, and wavelet based approach have been presented.…