Robust Sensor Placement for Quasi-Variational Inequalities
Wednesday, September 6, 2017 - 1:50pm - 2:25pm
We address the problem of placing sensors for quasi-variational inequalities (QVIs) robustly with respect to perturbations on parameters. QVIs arise as powerful mathematical models for the description of nonlinear complex phenomena in a variety of disciplines and topics that include superconductivity, elastoplasticity, and hydrology, among others. In addition to nonlinear and non-smooth, QVIs are characterized for having non-unique solutions. We aim to locate sensors for the estimation of the solution set of the QVI of interest in a robust manner with respect to perturbations on the forcing term.