This study proposes a convex model-based reduced-order model (CMBROM) method for
uncertain linear control systems, which ensures the accuracy of the reduced-order model …

The digital twin (DT) technology provides a viable and promising direction for improving the
level of the production status monitoring and the overall product quality in various fields …

In this paper, we discuss the problem of model order reduction for positive real systems
based on balancing methods. The mixed gramian balanced truncation (MGBT) method …

Two transformations are presented in this research; the first approach takes a generic two-
dimensional (2-D) framework and transforms it into a diagonalized 2-D framework without …

Two-dimensional models are challenging to deal with because of their complex structure. As
the model's order grows larger, simulation, analysis, design, and control become more …

This paper proposes a damping torque index (DTI) to determine the optimal installation
location of the power system stabilizer (PSS) in the multi-machine power network. The …

In this work, a novel methodology for the order diminution of multi-input multi-output (MIMO)
systems has been explored by applying some firefly-based hybrid methods. Constrained …

The paper deals with uncertainty modelling, robust stability and performance analysis of
multi-input multi-output (MIMO) reduced order spatially distributed dissipative dynamical …

This article investigates the design of a robust fixed-order controller for single-input–single-
output (SISO) polytopic systems with interval uncertainties, with the aim that the closed-loop …

This paper presents a structure-preserving model reduction framework for linear systems, in
which the $\mathcal {H} _2 $ optimization is incorporated with the Petrov-Galerkin projection …