This paper explores a time-domain parallel parametric model order reduction (PMOR)
method for parametric systems based on the block discrete Fourier transform (DFT) and …

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 …

In time-limited model order reduction, a reduced-order approximation of the original high-
order model is obtained that accurately approximates the original model within the desired …

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 …

Frequency-limited model order reduction aims to approximate a high-order model with a
reduced-order model that maintains high fidelity within a specific frequency range. Beyond …

Model order reduction (MOR) is a computational and mathematical technique to simplify
complex dynamic systems while preserving essential characteristics. This technique is used …

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 …