Title :
Arnoldi model reduction for switched linear systems
Author :
Kouki, Matsuse ; Abbes, Mehdi ; Mami, Abdelkader
Author_Institution :
Lab. of Analyze & Command of Syst., Tunis, Tunisia
Abstract :
In this paper we present a new method of reduction for large-scale switched system, which is an important class of hybrid and non linear systems. In this work, we focus on linear switched systems. This new method is based on the generation of Krylov subspace by the use of the Arnoldi algorithm, which is numerically efficient and applicable for any order, from which we solve the problem of H∞ model reduction. We take one example to evaluate this method.
Keywords :
H∞ control; large-scale systems; linear systems; nonlinear systems; reduced order systems; time-varying systems; Arnoldi algorithm; Arnoldi model reduction; H∞ model reduction; Krylov subspace generation; hybrid systems; large-scale switched system; nonlinear systems; switched linear systems; Numerical models; Switches; Vectors;
Conference_Titel :
Modeling, Simulation and Applied Optimization (ICMSAO), 2013 5th International Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4673-5812-5
DOI :
10.1109/ICMSAO.2013.6552568