In this paper, popular model reduction techniques from the fields of structural dynamics,
numerical mathematics and systems and control are reviewed and compared. The …

The increasing demand for higher power device utilization and reliability in power electronic
systems is driving the integration of condition monitoring and active control in power …

Robustness of control systems to disturbances and uncertainties has always been the
central issue in feedback control. Feedback would not be needed for most control systems if …

In today's technological world, physical and artificial processes are mainly described by
mathematical models, which can be used for simulation or control. These processes are …

Part I deals with the mathematical preliminaries: numerical linear algebra; system theory;
stochastic processes; and Kalman filtering. Part II explains realization theory as applied to …

Robustness is often of crucial importance in control system design. Real engineering
systems are vulnerable to external disturbance and measurement noise and there are …

Balanced truncation is one of the most common model reduction schemes. In this note, we
present a survey of balancing related model reduction methods and their corresponding …

An overview of model reduction methods and a comparison of the resulting algorithms is
presented. These approaches are divided into two broad categories, namely SVD based …

The objective of this study was to develop a reduce-dorder small-signal model of a microgrid
system capable of operating in both the grid-tied and the islanded conditions. The nonlinear …

Modern methods of filter design and controller design often yield systems of very high order,
posing a problem for their implementation. Over the past two decades or so, sophisticated …