MODELLING AND MONITORING OF CHANGES IN DYNAMICAL SYSTEMS.

A. Benveniste; M. Basseville; G. Moustakides

doi:10.1109/cdc.1986.267461

MODELLING AND MONITORING OF CHANGES IN DYNAMICAL SYSTEMS.

A. Benveniste, M. Basseville, G. Moustakides

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

3 Scopus citations

Abstract

The authors present a systematic approach for the design of change detection and model validation algorithms for dynamical systems. They show how to associate to any identification algorithm a change detection and a model validation procedure, which are optimal in some asymptotic sense. The foundations of the method go back to the asymptotic local approach in statistics, and the method generalizes this approach.

Original language	English (US)
Pages (from-to)	776-782
Number of pages	7
Journal	Proceedings of the IEEE Conference on Decision and Control
DOIs	https://doi.org/10.1109/cdc.1986.267461
State	Published - 1986
Externally published	Yes

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Modeling and Simulation
Control and Optimization

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10.1109/cdc.1986.267461

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title = "MODELLING AND MONITORING OF CHANGES IN DYNAMICAL SYSTEMS.",

abstract = "The authors present a systematic approach for the design of change detection and model validation algorithms for dynamical systems. They show how to associate to any identification algorithm a change detection and a model validation procedure, which are optimal in some asymptotic sense. The foundations of the method go back to the asymptotic local approach in statistics, and the method generalizes this approach.",

author = "A. Benveniste and M. Basseville and G. Moustakides",

year = "1986",

doi = "10.1109/cdc.1986.267461",

language = "English (US)",

pages = "776--782",

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

issn = "0191-2216",

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

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AU - Benveniste, A.

AU - Basseville, M.

AU - Moustakides, G.

PY - 1986

Y1 - 1986

N2 - The authors present a systematic approach for the design of change detection and model validation algorithms for dynamical systems. They show how to associate to any identification algorithm a change detection and a model validation procedure, which are optimal in some asymptotic sense. The foundations of the method go back to the asymptotic local approach in statistics, and the method generalizes this approach.

AB - The authors present a systematic approach for the design of change detection and model validation algorithms for dynamical systems. They show how to associate to any identification algorithm a change detection and a model validation procedure, which are optimal in some asymptotic sense. The foundations of the method go back to the asymptotic local approach in statistics, and the method generalizes this approach.

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U2 - 10.1109/cdc.1986.267461

DO - 10.1109/cdc.1986.267461

M3 - Conference article

AN - SCOPUS:0023012926

SN - 0191-2216

SP - 776

EP - 782

JO - Proceedings of the IEEE Conference on Decision and Control

JF - Proceedings of the IEEE Conference on Decision and Control

ER -

MODELLING AND MONITORING OF CHANGES IN DYNAMICAL SYSTEMS.

Abstract

All Science Journal Classification (ASJC) codes

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