Two approaches to min-max feedback control and design of uncertain systems

Abstract

/-< '?-! fP R A r`< ns In designing control systems with optimal performance parameter variations pose, a great problem. In principle, it jo possible to attain on ideal performance by sensing the uncertain parameters and using an adaptive controlled'. But such controllers are usually difficult or expensive to rea lize and there İ3 a strong motivation for considering simpler controllers. The simpler control strategy under parameter uncertain ty is the min-m3X controller which operate the system according to one control law that minimizes the maximum variations from the optima corresponding to each parameter. There exist various methods to find the parameters of the min-max controller. In this study two approaches have been considered to find the min-max controller parameters: iterative or search procedure, and game theoretic approach.