Real-time optimal parametric design using the assess-predict-optimize strategy
For most optimization problems, the uncertainty in the output results due to errors arising from the estimation of the system parameters used in the optimization is usually difficult to measure. This thesis presents a strategy which combines the ability to approximate the experimental errors and to...
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| Format: | Thesis |
| Language: | English |
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2014
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| Online Access: | http://hdl.handle.net/10356/60693 |