This is an exploration of physical modelling and experimental issues that considers identification of structured models such as continuous-time linear systems, multidimensional systems and nonlinear systems. It avoids a narrow focus on time series analysis and gives a broader perspective on modelling, identification and its applications with many examples of physical modelling. There is also strong emphasis on model validation and a pluralistic approach with model evaluation in a stochastic framework, according to approximation notions.
Sprache
Verlagsort
Verlagsgruppe
Pearson Education Limited
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Illustrationen
Maße
Höhe: 243 mm
Breite: 182 mm
Gewicht
ISBN-13
978-0-13-482308-9 (9780134823089)
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Schweitzer Klassifikation
Black box models; signals and systems; spectrum analysis; linear regression; identification of time-series models; modelling; the experimental procedures; model approximation; real-time identification; continous-time models; multidimentional identification; adaptive systems. Appendices: basic matrix algebra; statistical inference; numerical optimization; statistical properties of time series; a case study.
