Physically based parameterizations for designing adaptive algorithms

Soura Dasgupta; Brian D.O Anderson

doi:10.1016/0005-1098(87)90076-8

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Physically based parameterizations for designing adaptive algorithms

Journal article

Peer reviewed

Physically based parameterizations for designing adaptive algorithms

Soura Dasgupta and Brian D.O Anderson

Automatica (Oxford), Vol.23(4), pp.469-477

1987

DOI: 10.1016/0005-1098(87)90076-8

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Abstract

Structural properties are examined of systems with physical component values as parameters. Both state variable realizations and transfer function descriptions are investigated. The transfer functions in particular are shown to be the ratios of polynomials with coefficients multilinear in the parameters. These structures prove useful in formulating adaptive algorithms.

rank-1

multilinear

Adaptive algorithms

physical paramters

Details

Title: Subtitle: Physically based parameterizations for designing adaptive algorithms
Creators: Soura Dasgupta - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, U.S.A
Brian D.O Anderson - Department of Systems Engineering, Research School of Physical Sciences, Australian National University Canberra, ACT 2601, Australia
Resource Type: Journal article
Publication Details: Automatica (Oxford), Vol.23(4), pp.469-477
Publisher: Elsevier Ltd
DOI: 10.1016/0005-1098(87)90076-8
ISSN: 0005-1098
eISSN: 1873-2836
Language: English
Date published: 1987
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984083831402771

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