Synthesis of globally optimal controllers for robust performance to unstructured uncertainty

Abstract

This paper solves the problem of synthesis of controllers achieving globally optimal robust performance against unstructured time-varying and/or nonlinear uncertainty. The performance measure considered is the infinity-to-infinity induced norm of a system's transfer function. The solution utilizes sensitivity analysis of linear programming and the theory of parametric programming.