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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| Published in: | Computational Intelligence in Control and Automation (CICA) pp. 23 - 30 |
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| Main Authors: | , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
IEEE
01.04.2011
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| Subjects: | |
| ISBN: | 9781424499021, 142449902X |
| ISSN: | 2328-1448 |
| Online Access: | Get full text |
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