A constant D-Scale mu-synthesis approach based on nonsmooth optimization

Emmanuel Prempain; Ian Postlethwaite

doi:10.3182/20080706-5-KR-1001.02572

A constant D-Scale mu-synthesis approach based on nonsmooth optimization

Emmanuel Prempain, Ian Postlethwaite

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper presents a nonsmooth optimization technique for solving a special mu-synthesis control problem. Attention is focused on controller synthesis problems that involve real diagonal scalings. An academic example illustrates the synthesis algorithm and a comparison is made with the well-known DK-iteration algorithm. This paper shows that nonsmooth optimization synthesis can provide better solutions than the standard DK-iteration algorithm.

Original language	English
DOIs	https://doi.org/10.3182/20080706-5-KR-1001.02572
Publication status	Published - 2008
Event	17th IFAC World Congress - South Korea Duration: 1 Jan 2008 → …

Conference

Conference	17th IFAC World Congress
Period	1/01/08 → …

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10.3182/20080706-5-KR-1001.02572

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abstract = "This paper presents a nonsmooth optimization technique for solving a special mu-synthesis control problem. Attention is focused on controller synthesis problems that involve real diagonal scalings. An academic example illustrates the synthesis algorithm and a comparison is made with the well-known DK-iteration algorithm. This paper shows that nonsmooth optimization synthesis can provide better solutions than the standard DK-iteration algorithm.",

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AB - This paper presents a nonsmooth optimization technique for solving a special mu-synthesis control problem. Attention is focused on controller synthesis problems that involve real diagonal scalings. An academic example illustrates the synthesis algorithm and a comparison is made with the well-known DK-iteration algorithm. This paper shows that nonsmooth optimization synthesis can provide better solutions than the standard DK-iteration algorithm.

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M3 - Paper

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ER -

A constant D-Scale mu-synthesis approach based on nonsmooth optimization

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