EFFICIENT MODEL ORDER REDUCTION VIA MULTI-POINT MOMENT MATCHING

Patent №

US 6,789,237

Granted

2004-09-07

Filed 2002

Owner

NORTHWESTERN UNIVERSITY

Lab

AI components

1

hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10142276

A method for mapping moments in a reduced order system of approximation order q for use in simulating a circuit or system having n state variables at n nodes, the circuit or system having I inputs. The method includes calculating only q+I moments, where q is the approximation order and I is the number of inputs of the circuit or system being simulated, sorting the state variables at the n nodes, selecting q nodes of the n nodes, and calculating the dominate poles and zeros using a multi-point moment matching algorithm to simultaneously match q+I moments at the selected q nodes of the circuit or system. In one embodiment, the method includes using extra dummy inputs such that the total number of inputs equals I, such that K*I>q where K is a constant having a value in the range of about 4 to 8.

AI classification

AI hardware0.99
Machine learning0.25
Evolutionary computation0.04
Vision0.03
Speech0.02
Planning0.00
Natural language0.00
Knowledge representation0.00

Ownership

NORTHWESTERN UNIVERSITY

assignment · 131630287

Assignors

ISMAIL, YEHEA I.

On an employer assignment, the assignors are typically the inventors.

From the same owner

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