Svetlana Iantchenko

Convex Duality Approach: to Robust Stabilization of Uncertain Plants Svetlana Iantchenko

We study the problem of designing the controllers that are robust with respect to the parametric uncertainty. In Part I ?The Rank-One Problem? we consider the class of systems with restriction that the structure of uncertainty is limited to a vector. We extend the class of the allowed systems. The main result is the canonical parametrization of all destabilizing uncertainties. We also present a method of obtaining the suboptimal controller of lower order that provides the stability margin as close to the optimal one as we wish. We propose a numerical algorithm for the optimal robust control synthesis. In the special case, when the uncertainty parameter is real-valued, we show that the initial problem can be considered as finite-dimensional in the space of variables (semi-infinite convex programming). Part II ?Convex Duality: Matrix Case? generalizes the results to the systems with matrix uncertainties.