Mathematics – Optimization and Control
Scientific paper
2007-12-18
Linear Algebra and its Applications, Vol. 428, No. 10, pp. 2385-2402, 2008.
Mathematics
Optimization and Control
18 pages, 1 figure
Scientific paper
10.1016/j.laa.2007.12.027
We provide an asymptotically tight, computationally efficient approximation of the joint spectral radius of a set of matrices using sum of squares (SOS) programming. The approach is based on a search for an SOS polynomial that proves simultaneous contractibility of a finite set of matrices. We provide a bound on the quality of the approximation that unifies several earlier results and is independent of the number of matrices. Additionally, we present a comparison between our approximation scheme and earlier techniques, including the use of common quadratic Lyapunov functions and a method based on matrix liftings. Theoretical results and numerical investigations show that our approach yields tighter approximations.
Jadbabaie Ali
Parrilo Pablo A.
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