On control-specific derivation of affine Takagi-Sugeno models from physical models: Assessment criteria and modeling procedure
Models are commonly derived and their performance is assessed wrt. minimal prediction error on a closed data set. However, if no perfect model can be used, the degrees of freedom in modeling should be used to adjust the model to application-specific metrics. For model-based controller design, contro...
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| Vydané v: | Computational Intelligence in Control and Automation (CICA) s. 23 - 30 |
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| Hlavní autori: | , |
| Médium: | Konferenčný príspevok.. |
| Jazyk: | English |
| Vydavateľské údaje: |
IEEE
01.04.2011
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| Predmet: | |
| ISBN: | 9781424499021, 142449902X |
| ISSN: | 2328-1448 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | Models are commonly derived and their performance is assessed wrt. minimal prediction error on a closed data set. However, if no perfect model can be used, the degrees of freedom in modeling should be used to adjust the model to application-specific metrics. For model-based controller design, control-oriented performance metrics (e.g. performance wrt. to control-critical properties) are important, but not primarily prediction (i.e. prognosis- and simulation-oriented) ones. This motivates the derivation of control-specific models. The contribution introduces structured and quantitative measures on "model suitability for control" for the class of affine dynamic Takagi-Sugeno models. A method is suggested that derives control-specific dynamic models from a physical model given as a set of nonlinear differential equations. Within a case study, the proposed method demonstrates its significance: Using control-specific models improves control performance metrics such as set-point tracking quality, stability region and energy efficiency. Nonlinear dynamic modeling, Takagi-Sugeno systems, modeling for control performance metrics such as set-point tracking quality, stability region and energy efficiency. |
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| ISBN: | 9781424499021 142449902X |
| ISSN: | 2328-1448 |
| DOI: | 10.1109/CICA.2011.5945746 |

