Title :
Stability testing of matrix polytopes
Author :
Gurvits, Leonid ; Olshevsky, Alex
Author_Institution :
Los Alamos Nat. Lab., Los Alamos, NM, USA
Abstract :
Motivated by questions in robust control and switched linear dynamical systems, we consider the problem checking whether every element of a polytope of n×n matrices A is stable. We show that this can be done in polynomial-time in n when the number of extreme points of A is constant, but becomes NP-Hard when the number of extreme points grows as Θ(n). This result has two useful corollaries: (i) for the case when A is a line, we give a stability-testing algorithm considerably faster than the best currently known algorithms (ii) we show that verifying the absolute asymptotic stability of a continuous-time switched linear system with n - 1 n × n matrices Ai satisfying 0 Υ Ai + AiT is NP-hard.
Keywords :
asymptotic stability; continuous time systems; linear systems; matrix algebra; robust control; time-varying systems; NP-hard; absolute asymptotic stability; continuous-time switched linear system; matrix polytopes; robust control; stability testing; stability-testing algorithm; switched linear dynamical systems; Asymptotic stability; Bismuth; Eigenvalues and eigenfunctions; Interpolation; Polynomials; Switches; Testing;
Conference_Titel :
Control Conference (ECC), 2007 European
Conference_Location :
Kos
Print_ISBN :
978-3-9524173-8-6