Principles of system identification theory and practice
Master Techniques and Successfully Build Models Using a Single Resource Vital to all data-driven or measurement-based process operations, system identification is an interface that is based on observational science, and centers on developing mathematical models from observed data. Principles of Syst...
| Otros Autores: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
CRC Press, an imprint of Taylor and Francis
2014.
|
| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009672603206719 |
Tabla de Contenidos:
- Introduction
- A journey into identification
- Mathematical descriptions of processes: models
- Models for discrete-time LTI systems
- Transform-domain models for linear Time-invariant systems
- Sampling and discretization
- Random processes
- Time-domain analysis: correlation functions
- Models for linear stationary processes
- Fourier analysis and spectral analysis of deterministic signals
- Spectral representations of random processes
- Introduction to estimation
- Goodness of estimators
- Estimation methods: part I
- Estimation methods: part II
- Estimation of signal properties
- Non-parametric and parametric models for identification
- Predictions
- Identification of parametric time-series models
- Identification of non-parametric input-output models
- Identification of parametric input-output models
- Statistical and practical elements of model building
- Identification of state-space models
- Case studies
- Advanced topics in SISO identification
- Linear multivariable identification.
