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Communication Dans Un Congrès Année : 2003

dD-regularity for robust matrix root-clustering

Résumé

This paper addresses the problem of robust matrix root-clustering. The considered uncertainty is the so-called norm-bounded one. The clustering regions are unions of possibly disjoint and nonsymmetric disks and half planes. The concept of ∂D-regularity is introduced. Owing to this notion, a sufficient (but not too pessimistic) LMI condition for robust matrix root-clustering is obtained.

Domaines

Automatique

Dates et versions

hal-03759328 , version 1 (24-08-2022)

Identifiants

Citer

Olivier Bachelier, Bernard Pradin. dD-regularity for robust matrix root-clustering. 4th IFAC Symposium on Robust Control Design (ROCOND 2003), Jun 2003, Milano, Italy. ⟨10.1016/S1474-6670(17)35669-0⟩. ⟨hal-03759328⟩
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