Reduced-order modeling for energy performance contracting

Computational Methods for Reduced Order Modeling

This paper deals with computer aided generation of reduced-order models for fast static and dynamic simulations of micro electromechanical systems. Following previous work, we present improved methods to reduce the computational effort of parameter extraction techniques, to consider multiple electrodes and the extension of analysing capabilities. A micromirror example will be used to demonstrat...

Approximate Deconvolution Reduced Order Modeling

This talk proposes an approximate deconvolution reduced order model (AD-ROM). The new AD-ROM is developed within the large eddy simulation reduced order modeling (LES-ROM) framework, in which a differential filter is used to define the large ROM structures and the AD approach is used to solve the ROM closure problem. The AD-ROM is tested in the numerical simulation of a three-dimensional flow p...

Reduced Order Long Interconnect Modeling

As the size of the integrated circuits become smaller with higher speed of operation, the RLC interconnect effects have greater impact on signal propagation and signal integrity issue that is reflected in terms of noise or cross talk effects and giving rise to delay, ringing, glitches and overshoot, undershoot or false signaling problems etc. (figure-1, [7]). These definitely impose a great cha...

Laguerre-svd Reduced Order Modeling

A reduced order modeling method based on a system description in terms of orthonormal Laguerre functions, together with a Krylov subspace decomposition technique is presented. The link with Padé approximation, the block Arnoldi process and singular value decomposition (SVD) leads to a simple and stable implementation of the algorithm. Novel features of the approach include the determination of ...

Reduced Order Modeling of Nonlinear Control Systems