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Publications about 'Low-rank perturbation'
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A. Zare,
H. Mohammadi,
N. K. Dhingra,
T. T. Georgiou,
and M. R. Jovanovic.
Proximal algorithms for large-scale statistical modeling and sensor/actuator selection.
IEEE Trans. Automat. Control,
65(8):3441-3456,
August 2020.
Keyword(s): Actuator selection,
Augmented Lagrangian,
Convex optimization,
Low-rank perturbation,
Matrix completion problem,
Method of multipliers,
Non-smooth optimization,
Proximal algorithms,
Regularization for design,
Sensor selection,
Sparsity-promoting optimal control,
Structured covariances.
[bibtex-entry]
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A. Zare,
N. K. Dhingra,
M. R. Jovanovic,
and T. T. Georgiou.
Structured covariance completion via proximal algorithms.
In Proceedings of the 56th IEEE Conference on Decision and Control,
Melbourne, Australia,
pages 3775-3780,
2017.
Keyword(s): Augmented Lagrangian,
Convex optimization,
Low-rank perturbation,
Matrix completion problem,
Method of multipliers,
Non-smooth optimization,
Proximal methods,
Regularization,
Sparsity-promoting optimal control,
Structured covariances.
[bibtex-entry]
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A. Zare,
M. R. Jovanovic,
and T. T. Georgiou.
Perturbation of system dynamics and the covariance completion problem.
In Proceedings of the 55th IEEE Conference on Decision and Control,
Las Vegas, NV,
pages 7036-7041,
2016.
Keyword(s): Convex optimization,
Low-rank perturbation,
Matrix completion problems,
Sparsity-promoting optimal control,
Structured covariances.
[bibtex-entry]
Back to MJ's Publications
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Last modified: Sat Oct 5 22:00:41 2024
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