Identifying models of dynamic systems using regression model for parameters and error rates
US9740181B2 · kind B2 · utility
3Cited by
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18Claims
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Key dates
| Filing date | Nov 8, 2012 |
| Grant date | Aug 22, 2017 |
| Priority date | — |
| Expiry date | Jul 2, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B2219/2614
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
Identifying models of dynamic systems is described herein. One method for identifying a model of a dynamic system includes estimating a number of parameters for each of a number of models of the dynamic system, predicting an output using the estimated number of parameters for each of the number of models, calculating a rate of error of the predicted output for each of the number of models compared to an observed output, and identifying a best model among the number of models of the dynamic system based on the calculated rate of errors.
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