Robust stabilization of an LFT model

A method is proposed for synthesizing a controller, whose order is a priori fixed, and which ensures a robust pole placement inside a given region of the complex plane, despite parametric uncertainties in the plant model. The key idea is to use a dyadic state-space parameterization of the controller, to transform the nan-convex optimization problem into a series of Linear Programming problems. The method is successfully applied to a non-trivial example extracted from Balas et al. mu Analysis and Synthesis Toolbox. The Mathworks, Inc. Copyright (C) 2000 John Wiley & Sons, Ltd.