This paper presents a new method of missing point estimation (MPE) to derive efficient
reduced-order models for large-scale parameter-varying systems. Such systems often result …

Physical processes described by partial di® erential equations (PDE's) are usu-ally
simulated by discretizing the spatial and the temporal domain of the variables (temperature …

This thesis is concerned with the linear-quadratic optimal control and model order reduction
(MOR) of large-scale linear time-varying (LTV) control systems. In the first two parts …

Many of the commonly used methods in model‐order reduction do not guarantee stability of
the reduced‐order model. This article extends the eigenvalue reassignment method of …

This paper presents new recursive projection techniques to compute reduced order models
of time-varying linear systems. The methods produce a low rank approximation of the …

In this paper, the balanced truncation procedure is applied to time-varying linear systems,
both in continuous and in discrete time. The methods are applied to a linear approximation …

PDE-constrained optimization problems yield a linear saddle-point system that has to be
solved. We propose a preconditioner that makes use of the global MSSS structure and a …

Observers play an important role in the control of linear systems. Given the importance of
DAE models, it is natural that there has been considerable interest in designing and using …

We present methodologies for reduced order modeling of convection dominated flows.
Accordingly, three main problems are addressed. Firstly, an optimal manifold is realized to …

This paper presents an approach for the construction of both full order and reduced order
observers for general linear time varying differential algebraic equations. The necessary …