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.
|Number of Pages||108|
|Country of Manufacture||India|
|Product Brand||LAP LAMBERT Academic Publishing|
|Product Packaging Info||Box|
|In The Box||1 Piece|
|Product First Available On ClickOnCare.com||2015-07-28 00:00:00|