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DYNAMIC ESTIMATION AND UNCERTAINTY QUANTIFICATION FOR MODEL-BASED CONTROL OF DISCRETE SYSTEMS
DYNAMIC ESTIMATION AND UNCERTAINTY QUANTIFICATION FOR MODEL-BASED CONTROL OF DISCRETE SYSTEMS
- Source :
- IFAC Proceedings Volumes. 39:585-590
- Publication Year :
- 2006
- Publisher :
- Elsevier BV, 2006.
-
Abstract
- This paper presents an approach to estimate the outputs and the uncertainty associated to the forecast for discrete dynamic systems represented by state-space models. The complete strategy includes three steps: 1. process identification based on a data sample; 2. estimation of the current process state based on the information available during a moving past horizon, which may contain lack of observations; 3. forecast of process states, process outputs and uncertainty along the future horizon. This procedure can be incorporated in control strategies that explicitly consider model uncertainty.
Details
- ISSN :
- 14746670
- Volume :
- 39
- Database :
- OpenAIRE
- Journal :
- IFAC Proceedings Volumes
- Accession number :
- edsair.doi...........fcc5b47ab6f3ddbf60d1ad3dc0c93b99
- Full Text :
- https://doi.org/10.3182/20060402-4-br-2902.00585