In projection-based model order reduction, a reduced-order approximation of the original full-
order system is obtained by projecting it onto a reduced subspace that contains its dominant …

We consider the problem of frequency limited H 2 optimal model order reduction for large-
scale sparse linear systems. A set of first-order H 2 optimality conditions are derived for the …

Abstract Piezoelectric based Tonpilz Transducer is a mechatronics control device that works
on high-power sound propagation to navigate or detect objects under the water. In order to …

In this paper, we focus on the topic of model order reduction (MOR) for coupled systems. At
first, an approximation via Laguerre polynomials expansions to controllability and …

Many relevant problems in the area of systems and control, such as controller synthesis,
observer design and model reduction, can be viewed as optimization problems involving …

The problem of constructing functional optimal observers (filters) for stochastic control
systems with additive noises in discrete time are studied in this work. Under the assumption …

Thermoacoustic systems are often modeled with a hybrid approach that combines separate
models for acoustic propagation and flame dynamics. Model Order Reduction (MOR) may …

This thesis investigates the H 2-optimal model order reduction problem within finite time and
frequency intervals. Several oblique projection-based algorithms are proposed that …

In dynamical system theory, the process of obtaining a reduced-order approximation of the
high-order model is called model order reduction. The closeness of the reduced-order …

The problem of constructing functional optimal observers (filters) for stochastic control
systems with additive noises in discrete time are studied in this work. Under the assumption …