Active control of sound and vibration is a relatively new and fast growing field of research
and application. The numbers of papers published on the subject have been more than …

The controllability and observability gramians in limited time and frequency intervals are
studied, and used for model reduction. In balanced and modal coordinates, a near–optimal …

A dynamic system model is proper for a particular application if it achieves the accuracy
required by the application with minimal complexity. Because model complexity often—but …

A new methodology for model reduction of multi-input multi-output systems exploits the
notion of an oblique projection. A reduced model is uniquely defined by a projector whose …

A new and direct approach to stochastic model reduction is developed. The order reduction
algorithm is obtained by establishing an equivalence between canonical correlation …

First-order necessary conditions for quadratically optimal reduced-order modeling of linear
time-invariant systems are derived in the form of a pair of modified Lyapunov equations …

Deals with the problem of computing an H/sub 2/optimal reduced-order model for a given
stable multivariable linear system. By way of orthogonal projection, the problem is …

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

Methods of structural control and dynamics are introduced in this book. These include
reduction of large structural models by balanced truncation, placement of actuators and …

The simulation and control of complex technical systems in many fields of application, like
structural mechanics, electrothermics, or acoustics, requires methods for the efficient …