A Bayesian approach to robust identification: application to fault detection
In the Control Engineering field, the so-called Robust Identification techniques deal with the problem of obtaining not only a nominal model of the plant, but also an estimate of the uncertainty associated to the nominal model. Such model of uncertainty is typically characterized as a region in the...
Main Author: | Fernández Canti, Rosa Ma. |
---|---|
Other Authors: | Blesa Izquierdo, Joaquim |
Format: | Doctoral Thesis |
Language: | English |
Published: |
Universitat Politècnica de Catalunya
2013
|
Subjects: | |
Online Access: | http://hdl.handle.net/10803/116329 |
Similar Items
-
A state space approach to chemical plant fault detection
by: Bell, C. R.
Published: (1983) -
Modelling, fault detection and control of fault tolerant permanent magnet machine drives
by: Sen, Bhaskar
Published: (2015) -
Fault detection and distributed estimation with sensor networks
by: Zhou, Yilun
Published: (2017) -
Automated fault detection for wind farm condition monitoring
by: Zaher, Ammar S.
Published: (2010) -
Bayesian super-resolution with application to radar target recognition
by: Lane, R. O.
Published: (2008)