Section: New Results

Particle Swarm Optimization for the optimization of feasibility domain volumes

Participants : Guillaume Sandou [correspondent] , Mohamad-Taki Asghar [Suplec (E3S), Control Department] .

It is a well-known fact that using mu-analysis for the computation of a guaranteed stability domain gives the largest hyper-rectangle included in the real stability domain (which is impossible to compute). However, the results strongly depend on the choice which has been made for the nominal system and the parameterization of the uncertainties. In this study, these choices are considered as optimization variables. The goal is now to find the best parameterization of the problem to get the largest stability domain. The optimization has been done using Particle Swarm Optimization.