PIMS-SFU CSC Seminar -Roland Herzog

  • Date: 07/07/2017
Roland Herzog, TU Chemnitz

Simon Fraser University, Surrey


Analysis and Algorithms for Optimal Control Problems with
Sparsity Terms


Optimization problems with sparsity enhancing norms have
helped enable the tremendous success of computational
compressed sensing techniques in the past decade, where the
goal is to recover a signal from a small number of
measurements. In this presentation we consider sparsity
enhancing norms from a different perspective. In the context
of optimal control problems they can be used to promote
sparse controls, which has immediate applications in
actuator placement problems. The talk introduces problem
settings with L1 and measure controls as well as
directional (joint) sparsity variants. We touch upon
analytical aspects, efficient algorithms, numerical analysis
and examples.

Other Information: 

Day and Time: Fri July 7, 3pm - 4pm
Location: K9509