This lecture explores the use of genetic programming to simultaneously optimize the structure and parameters of an effective control law.
Machine Learning Control
T. Duriez, S. L. Brunton, and B. R. Noack
[ Ссылка ]
Closed-Loop Turbulence Control: Progress and Challenges
S. L. Brunton and B. R. Noack
[ Ссылка ]
Code: faculty.washington.edu/sbrunton/DataDrivenControl.zip
[ Ссылка ]
This video was produced at the University of Washington
Machine Learning Control: Genetic Programming
Теги
Control theoryMachine learningData scienceDynamical systemsMachine learning controlMatlabOptimizationControlModel reductionSystem identificationReduced order modelsRegressionFeedback controlApplied mathematicsLinear algebraBalanced model reductionbalanced truncationsingular value decompositiondimensionality reductionGenetic algorithmsgenetic programmingartificial intelligence
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