System modeling and identification
著者
書誌事項
System modeling and identification
（Prentice-Hall information and system sciences series）
Prentice Hall, c1993
- :pbk.
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
- 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.
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