Robust unobservability for uncertain linear systems with structured uncertainty

Ian R. Petersen

doi:10.1109/cdc.2004.1428868

Robust unobservability for uncertain linear systems with structured uncertainty

Ian R. Petersen^*

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

5 Citations (Scopus)

Abstract

This paper introduces a notion of robust unobservability for a class of uncertain linear systems with structured uncertainty described by averaged integral quadratic constraints. This notion relates to the question of when a state is unobservable for all possible values of the uncertainty. This question may arise which considering modelling and realization theory for uncertain systems. The paper presents an algorithm for £nding the robust unobservability function and corresponding unobservable cone.

Original language	English
Article number	WeC12.3
Pages (from-to)	2694-2699
Number of pages	6
Journal	Proceedings of the IEEE Conference on Decision and Control
Volume	3
DOIs	https://doi.org/10.1109/cdc.2004.1428868
Publication status	Published - 2004
Externally published	Yes
Event	2004 43rd IEEE Conference on Decision and Control (CDC) - Nassau, Bahamas Duration: 14 Dec 2004 → 17 Dec 2004

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10.1109/cdc.2004.1428868

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title = "Robust unobservability for uncertain linear systems with structured uncertainty",

abstract = "This paper introduces a notion of robust unobservability for a class of uncertain linear systems with structured uncertainty described by averaged integral quadratic constraints. This notion relates to the question of when a state is unobservable for all possible values of the uncertainty. This question may arise which considering modelling and realization theory for uncertain systems. The paper presents an algorithm for £nding the robust unobservability function and corresponding unobservable cone.",

author = "Petersen, \{Ian R.\}",

year = "2004",

doi = "10.1109/cdc.2004.1428868",

language = "English",

volume = "3",

pages = "2694--2699",

journal = "Proceedings of the IEEE Conference on Decision and Control",

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note = "2004 43rd IEEE Conference on Decision and Control (CDC) ; Conference date: 14-12-2004 Through 17-12-2004",

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AU - Petersen, Ian R.

PY - 2004

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N2 - This paper introduces a notion of robust unobservability for a class of uncertain linear systems with structured uncertainty described by averaged integral quadratic constraints. This notion relates to the question of when a state is unobservable for all possible values of the uncertainty. This question may arise which considering modelling and realization theory for uncertain systems. The paper presents an algorithm for £nding the robust unobservability function and corresponding unobservable cone.

AB - This paper introduces a notion of robust unobservability for a class of uncertain linear systems with structured uncertainty described by averaged integral quadratic constraints. This notion relates to the question of when a state is unobservable for all possible values of the uncertainty. This question may arise which considering modelling and realization theory for uncertain systems. The paper presents an algorithm for £nding the robust unobservability function and corresponding unobservable cone.

UR - https://www.scopus.com/pages/publications/14244256355

U2 - 10.1109/cdc.2004.1428868

DO - 10.1109/cdc.2004.1428868

M3 - Conference article

AN - SCOPUS:14244256355

SN - 0743-1546

VL - 3

SP - 2694

EP - 2699

JO - Proceedings of the IEEE Conference on Decision and Control

JF - Proceedings of the IEEE Conference on Decision and Control

M1 - WeC12.3

T2 - 2004 43rd IEEE Conference on Decision and Control (CDC)

Y2 - 14 December 2004 through 17 December 2004

ER -

Robust unobservability for uncertain linear systems with structured uncertainty

Abstract

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