Decomposition of nonlinear dynamics using multiple model approach and gap metric analysis
US8073659B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 13, 2007 |
| Grant date | Dec 6, 2011 |
| Priority date | — |
| Expiry date | Jan 28, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B17/02
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
Multiple models for various stages of a non-linear process control are developed by clustering perturbation data obtained from the nonlinear process so as to permit multiple local data regions to be identified as a function of substantial similarity between the data, wherein the data of first data set represent the non-linear process. A discrete model corresponding to each of the local data regions is generated. The number of the discrete models may be reduced as a function of prediction error between actual outputs of the process and predicted outputs of the models and as a function of a gap metric based on closed loop similarity and frequency response similarity between the models.
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