Kumar, Deepak (Motilal Nehru National Institute of Technology Allahabad), Zulfiqar, Umair (The University of Western Australia), Sreeram, Victor (Univ. of Western Australia), Imran, Muhammad (National University of Sciences & Technology), Muda, Wan Mariam Wan (School of Ocean Engineering, Universiti Malaysia Terengganu,), Jazlan, Ahmad (Faculty of Engineering), Wu, Ai-Guo (Harbin Institute of Technology (Shenzhen))

Positive-Real Truncated Balanced Realization Based Frequency-Weighted Model Reduction

Scheduled for presentation during the Regular Session "Linear Systems and Robust Control" (FA1), Friday, November 29, 2019, 10:15−12:45, 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 April 25, 2024

Abstract

In this paper, a new frequency-weighted positive real balanced truncation technique is presented by using a combination of frequency-weighted model reduction with the positive real-truncated balanced realization (PR-TBR). The proposed technique yields passive reduced-order model for a given passive high order model with single-sided weighting only. The simulation results of the proposed technique are shown by using an example problem of RLC ladder network.