AN ITERATIVE METHOD FOR ROBUST PERFORMANCE ANALYSIS OF SAMPLED-DATA SYSTEMS AGAINST PARAMETER UNCERTAINTIES

Abstract: This paper is concerned with robust performance analysis of sampled-data systems. In particular, we consider the uncertainty of a parameter in the continuous-time plant and study the problem of determining the allowable range of the uncertainty around the origin over which the sampled-data system remains internally stable and a prescribed L2-induced norm level is retained. We provide an effective iterative procedure with guaranteed convergence that gives an exact allowable parameter range, together with rigorous arguments for the convergence. Copyright c©2005 IFAC