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System identification
Known as:
Identification
, Model identification
, System id
The field of system identification uses statistical methods to build mathematical models of dynamical systems from measured data. System…
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Related topics
Related topics
34 relations
Black box
Computer-automated design
Cybernetical physics
Design of experiments
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Broader (2)
Control theory
Systems engineering
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2012
Highly Cited
2012
System Identification: A Frequency Domain Approach
R. Pintelon
,
J. Schoukens
2012
Corpus ID: 58784535
System identification is a general term used to describe mathematical tools and algorithms that build dynamical models from…
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Highly Cited
2009
Highly Cited
2009
Sparse LMS for system identification
Yilun Chen
,
Yuantao Gu
,
A. Hero
IEEE International Conference on Acoustics…
2009
Corpus ID: 14808646
We propose a new approach to adaptive system identification when the system model is sparse. The approach applies ℓ1 relaxation…
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Highly Cited
2006
Highly Cited
2006
Aircraft system identification : theory and practice
V. Klein
,
E. Morelli
2006
Corpus ID: 59636503
* Introduction * Elements of System Theory * Mathematical Model of an Aircraft * Outline of Estimation Theory * Regression…
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Review
2001
Review
2001
Stochastic System Identification for Operational Modal Analysis: A Review
B. Peeters
,
G. Roeck
2001
Corpus ID: 30146975
This paper reviews stochastic system identification methods that have been used to estimate the modal parameters of vibrating…
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Review
1994
Review
1994
BOOK REVIEW SYSTEM IDENTIFICATION
Roy Smith
Econometric Theory
1994
Corpus ID: 15007417
The problem of identification, i.e., of finding a good mathematical model from data, is an important issue in many branches of…
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Highly Cited
1992
Highly Cited
1992
System identification and control using genetic algorithms
K. Kristinsson
,
G. Dumont
IEEE Transactions on Systems, Man and Cybernetics
1992
Corpus ID: 11455669
It is shown how genetic algorithms can be applied for system identification of both continuous and discrete time systems. It is…
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Highly Cited
1990
Highly Cited
1990
Non-linear system identification using neural networks
Sheng Chen
,
S. Billings
,
P. Grant
1990
Corpus ID: 2684962
Multi-layered neural networks offer an exciting alternative for modelling complex non-linear systems. This paper investigates the…
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Review
1974
Review
1974
A new look at the statistical model identification
H. Akaike
1974
Corpus ID: 411526
The history of the development of statistical hypothesis testing in time series analysis is reviewed briefly and it is pointed…
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Highly Cited
1974
Highly Cited
1974
System Identification Parameter and State Estimation
P. Eykhoff
1974
Corpus ID: 123099983
System identification: parameter and state estimation , System identification: parameter and state estimation…
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Highly Cited
1967
Highly Cited
1967
A learning method for system identification
J. Nagumo
,
A. Noda
IEEE Transactions on Automatic Control
1967
Corpus ID: 51672949
A method for system identification is proposed which is based on the error-correcting training procedure in learning machines…
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