This paper considers the problem of balanced model reduction for a class of distributed parameter systems. The system is assumed to have a finite-dimensional state vector as well ...
S. O. Reza Moheimani, Hemanshu Roy Pota, Ian R. Pe...
Bifurcation theory provides a powerful tool for analyzing the nonlinear dynamic behavior of process systems. However, although the theory in principle applies to lumped as well as...
This note furthers existing results on the model reduction of stable periodic systems. It utilizes for that matter a lifting technique to potentially attain less conservative erro...
Abstract. Slicing is a program analysis technique that was originally introduced to improve program debugging and understanding. The purpose of a slicing algorithm is to remove the...
Kinetic models for biochemical systems often comprise a large amount of coupled differential equations with species concentrations varying on different time scales. In this paper w...
— In general, existing model reduction techniques for stable nonlinear systems lack a guarantee on stability of the reduced-order model, as well as an error bound. In this paper,...
Bart Besselink, Nathan van de Wouw, Henk Nijmeijer
We describe a prototype Web service for model reduction of very large-scale linear systems. Specifically, a userfriendly interface is designed so that model reduction can be easi...
Peter Benner, Rafael Mayo, Enrique S. Quintana-Ort...
Model reduction of large-scale linear time-invariant systems is an ubiquitous task in control and simulation of complex dynamical processes. We discuss how LQG balanced truncation ...
Abstract— We present a systematic method for model reduction of a class of input-quantized systems in the max-plus algebra. We consider a generalization of the flow shop with ...
—In this paper, we present an approach to nonlinear model reduction based on representing a nonlinear system with a piecewise-linear system and then reducing each of the pieces w...