The past few decades have seen a significant spurt in developing lower-order, parsimonious
models of large-scale dynamical systems used for design and control. These surrogate …

For a class of large linear input-output systems, we present a new model order reduction
algorithm based on general orthogonal polynomials in the time domain. The main idea of …

Model-order reduction is a key technique to do fast simulation of interconnect networks.
Among many model-order reduction algorithms, those based on projection methods work …

Presents a new passive model reduction algorithm based on the Laguerre expansion of the
time response of interconnect networks. We derive expressions for the Laguerre coefficient …

In this paper, two model order reduction methods based on Laguerre orthogonal
polynomials for parabolic equation constrained optimal control problems are studied. The …

In this paper, we discuss the Arnoldi-based model order reduction (MOR) methods for linear
systems with inhomogeneous initial conditions, and present a time domain MOR method by …

In this article, we discuss the time-domain dimension reduction methods for second-order
systems by general orthogonal polynomials, and present a structure-preserving dimension …

A new time-domain model order reduction method based on the Laguerre function
expansion of the impulse response is presented. The Laguerre coefficients of the impulse …

This paper presents a new algorithm for computing sensitivity information of nonuniform
multiconductor transmission lines with respect to arbitrary physical parameters. The …

This paper presents the closed forms of the state-space models and the recursive algorithms
of the transfer function models for fast and accurate modeling of the distributed RLC …