Mixed H2/H∞ control of uncertain systems

Riyanto Bambang; Etsujiro Shimemura; Kenko Uchida

Mixed H₂/H_∞ control of uncertain systems

Riyanto Bambang, Etsujiro Shimemura, Kenko Uchida

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper considers mixed H₂/H_∞ control for linear systems with structured uncertainty via convex optimization. A generalized Riccati equation and a change of multivariable technique are employed in order to convexify the design problem. The resulting convex optimization problem is shown to be reduceable to a Generalized Eigenvalue Minimization Problem.

Original language	English
Title of host publication	American Control Conference
Editors	Anon
Place of Publication	Piscataway, NJ, United States
Publisher	Publ by IEEE
Pages	245-247
Number of pages	3
ISBN (Print)	0780308611
Publication status	Published - 1993
Event	Proceedings of the 1993 American Control Conference Part 3 (of 3) - San Francisco, CA, USA Duration: 1993 Jun 2 → 1993 Jun 4

Other

Other	Proceedings of the 1993 American Control Conference Part 3 (of 3)
City	San Francisco, CA, USA
Period	93/6/2 → 93/6/4

ASJC Scopus subject areas

Engineering(all)

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Cite this

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title = "Mixed H2/H∞ control of uncertain systems",

abstract = "This paper considers mixed H2/H∞ control for linear systems with structured uncertainty via convex optimization. A generalized Riccati equation and a change of multivariable technique are employed in order to convexify the design problem. The resulting convex optimization problem is shown to be reduceable to a Generalized Eigenvalue Minimization Problem.",

author = "Riyanto Bambang and Etsujiro Shimemura and Kenko Uchida",

year = "1993",

language = "English",

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pages = "245--247",

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note = "Proceedings of the 1993 American Control Conference Part 3 (of 3) ; Conference date: 02-06-1993 Through 04-06-1993",

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AU - Shimemura, Etsujiro

AU - Uchida, Kenko

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N2 - This paper considers mixed H2/H∞ control for linear systems with structured uncertainty via convex optimization. A generalized Riccati equation and a change of multivariable technique are employed in order to convexify the design problem. The resulting convex optimization problem is shown to be reduceable to a Generalized Eigenvalue Minimization Problem.

AB - This paper considers mixed H2/H∞ control for linear systems with structured uncertainty via convex optimization. A generalized Riccati equation and a change of multivariable technique are employed in order to convexify the design problem. The resulting convex optimization problem is shown to be reduceable to a Generalized Eigenvalue Minimization Problem.

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M3 - Conference contribution

AN - SCOPUS:0027845868

SN - 0780308611

SP - 245

EP - 247

BT - American Control Conference

A2 - Anon, null

PB - Publ by IEEE

CY - Piscataway, NJ, United States

T2 - Proceedings of the 1993 American Control Conference Part 3 (of 3)

Y2 - 2 June 1993 through 4 June 1993

ER -