Approximating worst case uncertainties

M.M.J. Wal, van de; A.G. Jager, de

Approximating worst case uncertainties

M.M.J. Wal, van de
, A.G. Jager, de

Control Systems Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

This paper discusses some approaches to generate real-rational, proper, and stable transfer function matrix representations for WCU (worst-case uncertainty) data resulting from $\mu$-analysis. This approximation problem is of interest in the case one wants to incorporate a description of the WCU into the plant to-be-analyzed, to assess the worst-case behavior of the system. Another application is in a certain approach to sensor/actuator selection. The main problem is that we require a real-rational, proper, and stable transfer function to fit complex data both in amplitude and phase.

Original language	English
Title of host publication	Proc. Internat. Symp. on the Mathematical Theory of Networks and Systems (MTNS 98)
Editors	A Beghi, L Finesso, G Picci
Place of Publication	Padova, Italy
Publisher	Il Poligrafo
Pages	TA10-TA10
Publication status	Published - 1998

Cite this

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title = "Approximating worst case uncertainties",

abstract = "This paper discusses some approaches to generate real-rational, proper, and stable transfer function matrix representations for WCU (worst-case uncertainty) data resulting from \$\textbackslash{}mu\$-analysis. This approximation problem is of interest in the case one wants to incorporate a description of the WCU into the plant to-be-analyzed, to assess the worst-case behavior of the system. Another application is in a certain approach to sensor/actuator selection. The main problem is that we require a real-rational, proper, and stable transfer function to fit complex data both in amplitude and phase.",

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year = "1998",

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T1 - Approximating worst case uncertainties

AU - Wal, van de, M.M.J.

AU - Jager, de, A.G.

PY - 1998

Y1 - 1998

N2 - This paper discusses some approaches to generate real-rational, proper, and stable transfer function matrix representations for WCU (worst-case uncertainty) data resulting from $\mu$-analysis. This approximation problem is of interest in the case one wants to incorporate a description of the WCU into the plant to-be-analyzed, to assess the worst-case behavior of the system. Another application is in a certain approach to sensor/actuator selection. The main problem is that we require a real-rational, proper, and stable transfer function to fit complex data both in amplitude and phase.

AB - This paper discusses some approaches to generate real-rational, proper, and stable transfer function matrix representations for WCU (worst-case uncertainty) data resulting from $\mu$-analysis. This approximation problem is of interest in the case one wants to incorporate a description of the WCU into the plant to-be-analyzed, to assess the worst-case behavior of the system. Another application is in a certain approach to sensor/actuator selection. The main problem is that we require a real-rational, proper, and stable transfer function to fit complex data both in amplitude and phase.

M3 - Conference contribution

SP - TA10-TA10

BT - Proc. Internat. Symp. on the Mathematical Theory of Networks and Systems (MTNS 98)

A2 - Beghi, A

A2 - Finesso, L

A2 - Picci, G

PB - Il Poligrafo

CY - Padova, Italy

ER -

Approximating worst case uncertainties

Abstract

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