A precise robust matrix root-clustering analysis with respect to polytopic uncertainty

In this paper, the problem of robust matrix root-clustering is addressed. An LMI approach is used to derive a sufficient condition for robust D-stability with respect to convex polytopic uncertainty. The presented results are part of the new framework dealing with parameter-dependent Lyapunov functions. The main contribution is to propose a new condition for matrix D-stability where D is a union of possibly disjoint and nonsymmetric subregions of the complex plane. A numerical comparison is proposed between this condition and a more classical one based on quadratic stability.

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