Uncertainty model unfalsification

Robert L. Kosut; Brian D.O. Anderson

Uncertainty model unfalsification

Robert L. Kosut^*, Brian D.O. Anderson

^*Corresponding author for this work

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

6 Citations (Scopus)

Abstract

The main contributions presented here are (i) to widen the classes of model sets for which necessary and sufficient conditions for uncertainty model unfalsification can be obtained, and (ii) to display the effect of different assumptions concerning the modeling error on the curves defining the boundary of unfalsified models (the optimal uncertainty tradeoff curve) for the same underlying data set.

Original language	English
Pages (from-to)	163-168
Number of pages	6
Journal	Proceedings of the IEEE Conference on Decision and Control
Volume	1
Publication status	Published - 1997
Externally published	Yes
Event	36th IEEE Conference on Decision and Control, 1997 - San Diego, CA, USA Duration: 10 Dec 1997 → 12 Dec 1997 https://ieeexplore.ieee.org/xpl/conhome/5239/proceeding

Cite this

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title = "Uncertainty model unfalsification",

abstract = "The main contributions presented here are (i) to widen the classes of model sets for which necessary and sufficient conditions for uncertainty model unfalsification can be obtained, and (ii) to display the effect of different assumptions concerning the modeling error on the curves defining the boundary of unfalsified models (the optimal uncertainty tradeoff curve) for the same underlying data set.",

author = "Kosut, {Robert L.} and Anderson, {Brian D.O.}",

year = "1997",

language = "English",

volume = "1",

pages = "163--168",

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

issn = "0191-2216",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "36th IEEE Conference on Decision and Control, 1997 ; Conference date: 10-12-1997 Through 12-12-1997",

url = "https://ieeexplore.ieee.org/xpl/conhome/5239/proceeding",

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TY - JOUR

T1 - Uncertainty model unfalsification

AU - Kosut, Robert L.

AU - Anderson, Brian D.O.

PY - 1997

Y1 - 1997

N2 - The main contributions presented here are (i) to widen the classes of model sets for which necessary and sufficient conditions for uncertainty model unfalsification can be obtained, and (ii) to display the effect of different assumptions concerning the modeling error on the curves defining the boundary of unfalsified models (the optimal uncertainty tradeoff curve) for the same underlying data set.

AB - The main contributions presented here are (i) to widen the classes of model sets for which necessary and sufficient conditions for uncertainty model unfalsification can be obtained, and (ii) to display the effect of different assumptions concerning the modeling error on the curves defining the boundary of unfalsified models (the optimal uncertainty tradeoff curve) for the same underlying data set.

UR - http://www.scopus.com/inward/record.url?scp=0031348927&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0031348927

SN - 0191-2216

VL - 1

SP - 163

EP - 168

JO - Proceedings of the IEEE Conference on Decision and Control

JF - Proceedings of the IEEE Conference on Decision and Control

T2 - 36th IEEE Conference on Decision and Control, 1997

Y2 - 10 December 1997 through 12 December 1997

ER -

Uncertainty model unfalsification

Abstract

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