Robust pole clustering in a good ride quality region of aircraft for matrices with structured uncertainties
type: Item
instance of: scholarly article
title: Robust pole clustering in a good ride quality region of aircraft for matrices with structured uncertainties
zbMATH Open document ID: 1019.93038
DOI: 10.1016/S0005-1098(02)00268-6
author: Sheng-Guo Wang
published in: Automatica
publication date: 2003-04-27T00:00:00Z
review text: As it is noted in the paper, a good ride quality region (GRQR) of the aircraft is a region bounded by two arcs and two horizontal lines in the left-half complex plane. However, it is a non-\(\Omega\)-transformable region, and that is why the generalized Lyapunov theory is not valid here. So the Rayleigh principle is developed in the paper for the analysis of robust pole clustering in this specific GRQR. The case of structured uncertainties is considered.
Mathematics Subject Classification ID: 93C95
Mathematics Subject Classification ID: 93B55
Mathematics Subject Classification ID: 93B35
zbMATH DE Number: 1900993
zbMATH Keywords: robust pole clustering
zbMATH Keywords: robust performance
zbMATH Keywords: uncertain systems
zbMATH Keywords: flight control
zbMATH Keywords: Rayleigh principle
zbMATH Keywords: structured uncertainties
MaRDI profile type: Publication
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description: scientific article; zbMATH DE number 1900993