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Methodology and application of optimal input design for parameter estimation

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If you have a question about this talk, please contact Mustapha Amrani.

Design and Analysis of Experiments

An optimal input design technique for parameter estimation is presented in this talk. The original idea is the combination of a dynamic programming method with a gradient algorithm for an optimal input synthesis. This approach allows us to include realistic practical constraints on the input and output variables. A description of this approach is presented, followed by an example concerning an aircraft longitudinal flight.

This talk is part of the Isaac Newton Institute Seminar Series series.

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