Cargando…
Multivariable system identification for process control /
Systems and control theory has experienced significant development in the past few decades. New techniques have emerged which hold enormous potential for industrial applications, and which have therefore also attracted much interest from academic researchers. However, the impact of these development...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; New York :
Pergamon,
2001.
|
| Edición: | 1st ed. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Chapter headings. Foreward. Preface. Symbols and Abbreviations. Introduction. Models of Dynamic Process and Signals. Identification Test Design and Data Pretreatment. Identification by the Least Squares Method. Extensions of the Least-Squares Method. Asymptotic method; SISO Case. Asymptotic Method; MIMO Case. Subspace Model Identification of MIMO Processes. Nonlinear Process Identification. Applications of Identification in Process Control. Model Based Fault Detection and Isolation. Refresher on Matrix Theory. Bibliography. Index.