Title
Model Reduction by Differential Balancing Based on Nonlinear Hankel Operators.
Abstract
In this paper, we construct balancing theory for nonlinear systems in the contraction framework. First, we define two novel controllability and observability functions via prolonged systems. We analyze their properties in relation to controllability and observability, and use them for so-called differential balancing, and its application to model order reduction. One of the main contribution of this paper is showing that differential balancing has close relationships with the Frechet derivative of the nonlinear Hankel operator. Inspired by [3], we provide a generalization in order to have a computationally more feasible method. Moreover, error bounds for model reduction by generalized balancing are provided.
Year
DOI
Venue
2017
10.1109/TAC.2016.2628201
IEEE Trans. Automat. Contr.
Keywords
Field
DocType
Reduced order systems,Controllability,Trajectory,Observability,Nonlinear systems,Stability analysis,Time-varying systems
Mathematical optimization,Observability,Nonlinear system,Controllability,Control theory,Model order reduction,Fréchet derivative,Hankel operator,Operator (computer programming),Trajectory,Mathematics
Journal
Volume
Issue
ISSN
62
7
0018-9286
Citations 
PageRank 
References 
6
0.50
14
Authors
2
Name
Order
Citations
PageRank
Yu Kawano15116.84
Jacquelien M. A. Scherpen249195.93