A Geometric Approach to the Minimum Sensitivity Design Problem

Authors:
Erik I. Verriest;W. Steven Gray
Affiliations:
-;-
Venue:
SIAM Journal on Control and Optimization
Year:
1995

Citing 0
Cited 1

Sparse gene regulatory network identification

KDECB'06 Proceedings of the 1st international conference on Knowledge discovery and emergent complexity in bioinformatics

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper a Riemannian geometric framework is given for the minimum sensitivity design problem and its solution using a natural optimization criterion. The theory is then applied to the case of linear systems to generate a class of minimum sensitivity realizations related to the so-called balanced realizations. In particular, conditions are given which are applicable in the cases of fixed point and floating point implementations.