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… (More)
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Topic mentions per year

1965-2018
020040060019652018

Papers overview

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Highly Cited
2012
Highly Cited
2012
The paper discusses application of Genetic Programming Algorithm - Evolutionary Strategy (GPA-ES) algorithm to symbolic… (More)
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Highly Cited
2009
Highly Cited
2009
We propose a new approach to adaptive system identification when the system model is sparse. The approach applies ℓ1 relaxation… (More)
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Highly Cited
2009
Highly Cited
2009
The nuclear norm (sum of singular values) of a matrix is often used in convex heuristics for rank minimization problems in… (More)
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Highly Cited
2004
Highly Cited
2004
Battery management systems in hybrid electric vehicle battery packs must estimate values descriptive of the pack’s present… (More)
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Highly Cited
2003
Highly Cited
2003
System identification is investigated for plants that are equipped with only binary-valued sensors. Optimal identification errors… (More)
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Highly Cited
2002
Highly Cited
2002
PII: S0005-1098(01)00208-4 of Lille in 1981, his Diploma of Advance study in 1982, and his Ph.D. in 1984. His main interest is… (More)
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Highly Cited
1992
Highly Cited
1992
It is shown how genetic algorithms can be applied for system identification of both continuous and discrete time systems. It is… (More)
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Highly Cited
1991
Highly Cited
1991
A brief outline is given of mainstream system identifications, i.e. the typical approaches, algorithms, and properties in the… (More)
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Highly Cited
1989
Highly Cited
1989
The publisher does not give any warranty express or implied or make any representation that the contents will be complete or… (More)
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Highly Cited
1989