On design of reduced-order H2 filters for discrete repetitive processes

Ligang Wu; Wei Xing Zheng

doi:10.1109/ISCAS.2011.5938021

On design of reduced-order H2 filters for discrete repetitive processes

Ligang Wu, Wei Xing Zheng

School of Computer, Data & Mathematical Sciences

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

2 Citations (Scopus)

Abstract

In this paper we consider the problem of designing reduced-order H2 filters for discrete linear repetitive processes (LRPs). The design criterion is that a reduced-order filter thus designed must guarantee the filtering error process to be stable along the pass and meantime minimize an upper bound for the H2 norm of its transfer function. The convex linearization approach is developed to fulfil the task of designing the desired reduced-order H2 filters. The performance of the designed filter is demonstrated by numerical results.

Original language	English
Title of host publication	Proceedings of the 2011 IEEE International Symposium on Circuits and Systems (ISCAS 2011), Rio de Janeiro, Brazil, 15-18 May 2011
Publisher	IEEE
Pages	2137-2140
Number of pages	4
ISBN (Print)	9781424494736
DOIs	https://doi.org/10.1109/ISCAS.2011.5938021
Publication status	Published - 2011
Event	IEEE International Symposium on Circuits and Systems - Duration: 20 May 2012 → …

Conference

Conference	IEEE International Symposium on Circuits and Systems
Period	20/05/12 → …

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10.1109/ISCAS.2011.5938021

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title = "On design of reduced-order H2 filters for discrete repetitive processes",

abstract = "In this paper we consider the problem of designing reduced-order H2 filters for discrete linear repetitive processes (LRPs). The design criterion is that a reduced-order filter thus designed must guarantee the filtering error process to be stable along the pass and meantime minimize an upper bound for the H2 norm of its transfer function. The convex linearization approach is developed to fulfil the task of designing the desired reduced-order H2 filters. The performance of the designed filter is demonstrated by numerical results.",

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AB - In this paper we consider the problem of designing reduced-order H2 filters for discrete linear repetitive processes (LRPs). The design criterion is that a reduced-order filter thus designed must guarantee the filtering error process to be stable along the pass and meantime minimize an upper bound for the H2 norm of its transfer function. The convex linearization approach is developed to fulfil the task of designing the desired reduced-order H2 filters. The performance of the designed filter is demonstrated by numerical results.

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DO - 10.1109/ISCAS.2011.5938021

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ER -

On design of reduced-order H2 filters for discrete repetitive processes

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