The Application of LQG Balanced Truncation Algorithm to the Digital Filter Design Problem

Authors

  • H. H. Bui Faculty of Electronic Enginering Technology, University of Economics - Technology for Industries, Vietnam
Volume: 12 | Issue: 6 | Pages: 9458-9463 | December 2022 | https://doi.org/10.48084/etasr.5235

Abstract

This paper presents a method for using a model reduction algorithm to design low-order digital filters. Designing an IIR digital filter that meets the specifications often leads to a high-order digital filter. To reduce the computation time and increase the response rate of the filter, we need to reduce the order of the high-order digital filter. Applying the LQG balanced truncation algorithm to reduce the demand for high-order digital filters shows that low-order filters can completely replace high-order digital filters. The simulation results show that the use of the LQG balanced truncation algorithm in order to reduce the filter order is correct and efficient.

Keywords:

LQG balanced truncation algorithm, model order reduction algorithm, digital filter

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How to Cite

[1]
H. H. Bui, “The Application of LQG Balanced Truncation Algorithm to the Digital Filter Design Problem”, Eng. Technol. Appl. Sci. Res., vol. 12, no. 6, pp. 9458–9463, Dec. 2022.

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