ANZCC 2019 Paper Abstract

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Paper FB1.1

Zulfiqar, Umair (The University of Western Australia), Sreeram, Victor (Univ. of Western Australia), Imran, Muhammad (National University of Sciences & Technology)

Channel-Specific Frequency-Limited Model Reduction

Scheduled for presentation during the Regular Session "Systems, Control, and Estimation" (FB1), Friday, November 29, 2019, 13:15−15:30, WZ Building Room WZ416

2019 Australian & New Zealand Control Conference (ANZCC), November 27-29, 2019, Auckland, New Zealand

This information is tentative and subject to change. Compiled on March 28, 2024

Keywords Complex Systems

Abstract

The frequency-limited model reduction techniques aim to construct a model of significantly lower order which approximates the original higher order model accurately within some specified frequency interval. In this paper, we propose a frequency-limited model reduction technique for multi-input and multi-output systems wherein a different desired frequency region can be specified for each input -output channel. The reduced order model thus obtained ensures superior accuracy within the frequency regions specified for each input-output channel. A numerical example is presented to demonstrate the applicability and the efficacy of the proposed algorithm.

 

 

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