Radially truncated uniform distributions for probabilistic robustness of control systems

Abstract

An approach to probabilistic robustness is developed in the context of unstructured uncertainty. For a control system with a bound on the uncertain quantities of interest, the probabilistic robustness margin R/sub max/(/spl epsiv/) describes the radius of tolerable uncertainty as a function of the risk level 0/spl les//spl epsiv//spl les/1. In addition, associated with the performance risk probability p=/spl epsiv/, the computed radius R/sub max/(/spl epsiv/) is guaranteed for a large class of radially symmetric nonincreasing density functions. In other words, the results are distribution free in the sense that the user does not need to have a detailed description of the statistics of the uncertainty other than a radial bound.