Algorithm Selection for the Predictive Model in Control Systems with Incompletely Observable Control Coordinate
| Autor: | A.V. Lekareva, A.A. Kobzev, N.A. Novikova |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Mathematical optimization
Polynomial Computer science Extrapolation 020206 networking & telecommunications Observable 02 engineering and technology Object (computer science) Model predictive control Control system Ordinary least squares 0202 electrical engineering electronic engineering information engineering General Earth and Planetary Sciences 020201 artificial intelligence & image processing Newton polynomial General Environmental Science Interpolation |
| Zdroj: | Procedia Computer Science. 103:426-431 |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2017.01.009 |
| Popis: | In this report we examine predictive control of the systems with incompletely observable control coordinate. The scientific and methodical approach to algorithm selection for the predictive model is represented. The article contains the analysis of prediction methods based on the static processing of object state data. We present research results concerning the precision of methods of algorithm specification based on interpolation polynomials and ordinary least squares approximation of data. |
| Databáze: | OpenAIRE |
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