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 …

The mathematical modeling of most physical systems, such as aerospace systems, heat
processes, telecommunication systems, transmission lines and chemical reactors, results in …

A truncation technique for model reduction to simultaneously match a specified number of
output covariance derivatives is described. These COVariance Equivalent Realizations …

The authors characterize the set of covariances that a linear discrete-time plant with a
specified-order controller can have. The controllers that assign such covariances to any …

A structure which consists of a main part and a number of attached substructures is
considered. A 'model reduction'scheme is developed and applied to each of the discrete …

A method for model reduction is proposed which minimizes the equation error and yields a
stationary exact model. With this model, the desired state variables, or their physically …

A new method for model reduction of linear systems is presented, based on Chebyshev
rational functions, using the Harmony Search (HS) algorithm. First, the full order system is …

For the identification of linear processes on the basis of ARX-models, equation error least
squares (EELS)(often indicated as the one step ahead prediction error method) is frequently …

For pt. I see ibid., vol. 3, no. 4, p. 1670-5, 1988. The design of power system stabilizers using
an optimal reduced-order model whose state variables are torque angles and speeds is …

In this paper, a new method is investigated for model order reduction of high order systems
based on moment matching technique. In this method, at first, full order model is expanded …