Logarithmic Concave Observers
The problem of (online) state estimation for dynamical systems arises frequently in control. The well known Kalman Filter comprises a coherent theory for the case of linear systems with Gaussian noise, but as soon as either condition is relaxed the picture becomes much less clear. This thesis investigates the case when process disturbances and measurements are relaxed from Gaussian to log-concave.
