Control & Optimization
Dominique Bonvin visit
two-step control (optimize parameters, optimize mean-square error between model and measurement also by parameter adjustment) fails when reality isn’t in the model set. Problem is under-determined (N free variables, 4N equations). (converges, but onto the wrong optimum).
Better solution – adjust the penalty/regularization terms to to get better agreement between model and data
Bonvin approach – adjust the control instead (NCO Control). Can be almost model free in the control process. (**)
pdg-control Training Problem 1b & 2
Coded SDP with costs to changing quotas.
Best way to visualize the optimal solution?
Evolution
Hessian calculation? Non-trivial – how to get Hessian from a non-gradient method, or a gradient method when you need to handle bounds? Various numerical challenges.
Wrightscape model comparisons – comparing meaningful hypotheses! (**)
Day’s graphs log
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