Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 218,077,365 papers from all fields of science
Search
Sign In
Create Free Account
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…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
34 relations
Black box
Computer-automated design
Cybernetical physics
Design of experiments
Expand
Broader (2)
Control theory
Systems engineering
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
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…
Expand
Highly Cited
2009
Highly Cited
2009
$l_{0}$ Norm Constraint LMS Algorithm for Sparse System Identification
Yuantao Gu
,
Jian Jin
,
Shunliang Mei
IEEE Signal Processing Letters
2009
Corpus ID: 1752098
In order to improve the performance of least mean square (LMS) based system identification of sparse systems, a new adaptive…
Expand
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…
Expand
Highly Cited
2005
Highly Cited
2005
A bounded-error approach to piecewise affine system identification
A. Bemporad
,
A. Garulli
,
S. Paoletti
,
A. Vicino
IEEE Transactions on Automatic Control
2005
Corpus ID: 12611040
This paper proposes a three-stage procedure for parametric identification of piecewise affine autoregressive exogenous (PWARX…
Expand
Review
2004
Review
2004
Particle methods for change detection, system identification, and control
C. Andrieu
,
A. Doucet
,
Sumeetpal S. Singh
,
V. Tadic
Proceedings of the IEEE
2004
Corpus ID: 11071240
Particle methods are a set of powerful and versatile simulation-based methods to perform optimal state estimation in nonlinear…
Expand
Highly Cited
2003
Highly Cited
2003
Wavelet Transforms for System Identification in Civil Engineering
T. Kijewski
,
A. Kareem
2003
Corpus ID: 15399133
Abstract: The time‐frequency character of wavelet transforms allows adaptation of both traditional time and frequency domain…
Expand
Highly Cited
1996
Highly Cited
1996
Subspace-based multivariable system identification from frequency response data
T. McKelvey
,
H. Akçay
,
L. Ljung
IEEE Transactions on Automatic Control
1996
Corpus ID: 17260530
Two noniterative subspace-based algorithms which identify linear, time-invariant MIMO (multi-input/multioutput) systems from…
Expand
Highly Cited
1993
Highly Cited
1993
System modeling and identification
Rolf Johansson
1993
Corpus ID: 60615298
Black box models signals and systems spectrum analysis linear regression identification of time-series models modelling the…
Expand
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…
Expand
Review
1989
Review
1989
Neural networks for control and system identification
P. Werbos
Proceedings of the 28th IEEE Conference on…
1989
Corpus ID: 61148665
A review is presented of the field of neuroengineering as a whole, highlighting the importance of neurocontrol and…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE