ROBUST EIGENSTRUCTURE CLUSTERING BY NONSMOOTH OPTIMIZATION
Résumé
We extend classical eigenstructure assignment to more realistic problems where additional performance and robustness specifications arise. Our aim is to combine time-domain constraints, as reflected by pole location and eigenvector structure, with frequency-domain objectives such as the H 2 , H ∞ or Hankel norms. Using pole clustering, we allow poles to move in polydisks of prescribed size around their nominal values, driven by optimization. Eigenelements, that is poles and eigenvectors, are allowed to move simultaneously and serve as decision variables in a specialized nonsmooth optimization technique. Two aerospace applications illustrate the power of the new method.
Origine | Fichiers produits par l'(les) auteur(s) |
---|
Loading...