An equalizing approach to super-optimization

H. Kwakernaak; Per-Ole Nyman

An equalizing approach to super-optimization

H. Kwakernaak, Per-Ole Nyman

University of Twente

Research output: Contribution to conference › Paper

2 Citations (Scopus)

109 Downloads (Pure)

Abstract

The polynominal approach to minimax frequency domani optimization of multivariable feedback has been successfully applied to the mixed sensitivity problem to improve robustness and disturbance rejection. The purpose of theis paper is to extend the polynomial equalizing approach to what has been called super-optimization, a hierarchical process for minimizing not only the largest, but all the singular values. It is not difficult to find examples where this is of great relevance for further improvement of the quality and robustness of the control.

Original language	Undefined
Pages	832-841
Publication status	Published - 1989
Event	IEEE International Conference on Control and Applications, ICCON 1989 - Jerusalem, Israel Duration: 3 Apr 1989 → 6 Apr 1989

Conference

Conference	IEEE International Conference on Control and Applications, ICCON 1989
Country/Territory	Israel
City	Jerusalem
Period	3/04/89 → 6/04/89

Keywords

IR-56080

Access to Document

equalizing_approach_-_kwakernaak

Cite this

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title = "An equalizing approach to super-optimization",

abstract = "The polynominal approach to minimax frequency domani optimization of multivariable feedback has been successfully applied to the mixed sensitivity problem to improve robustness and disturbance rejection. The purpose of theis paper is to extend the polynomial equalizing approach to what has been called super-optimization, a hierarchical process for minimizing not only the largest, but all the singular values. It is not difficult to find examples where this is of great relevance for further improvement of the quality and robustness of the control.",

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author = "H. Kwakernaak and Per-Ole Nyman",

year = "1989",

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TY - CONF

T1 - An equalizing approach to super-optimization

AU - Kwakernaak, H.

AU - Nyman, Per-Ole

PY - 1989

Y1 - 1989

N2 - The polynominal approach to minimax frequency domani optimization of multivariable feedback has been successfully applied to the mixed sensitivity problem to improve robustness and disturbance rejection. The purpose of theis paper is to extend the polynomial equalizing approach to what has been called super-optimization, a hierarchical process for minimizing not only the largest, but all the singular values. It is not difficult to find examples where this is of great relevance for further improvement of the quality and robustness of the control.

AB - The polynominal approach to minimax frequency domani optimization of multivariable feedback has been successfully applied to the mixed sensitivity problem to improve robustness and disturbance rejection. The purpose of theis paper is to extend the polynomial equalizing approach to what has been called super-optimization, a hierarchical process for minimizing not only the largest, but all the singular values. It is not difficult to find examples where this is of great relevance for further improvement of the quality and robustness of the control.

KW - IR-56080

M3 - Paper

SP - 832

EP - 841

T2 - IEEE International Conference on Control and Applications, ICCON 1989

Y2 - 3 April 1989 through 6 April 1989

ER -