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Publications about 'Regularization for design'
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S. Hassan-Moghaddam.
Analysis, design, and optimization of large-scale networks of dynamical systems.
PhD thesis,
University of Southern California,
2019.
Keyword(s): Consensus,
Control for optimization,
Convex Optimization,
Distributed control,
Forward-backward envelope,
Douglas-Rachford splitting,
Global exponential stability,
Integral quadratic constraints,
Networks of dynamical systems,
Non-smooth optimization,
Polyak-Lojasiewicz inequality,
Proximal algorithms,
Primal-dual methods,
Proximal augmented Lagrangian,
Regularization for design,
Sparse graphs,
Sparsity-promoting optimal control,
Structured optimal control,
Structure identification,
Topology design.
[bibtex-entry]
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N. K. Dhingra.
Optimization and control of large-scale networked systems.
PhD thesis,
University of Minnesota,
2017.
Keyword(s): Augmented Lagrangian,
Combination drug therapy,
Convex optimization,
Directed networks,
Leader selection,
Method of multipliers,
Non-smooth optimization,
Optimization,
Proximal algorithms,
Proximal augmented Lagrangian,
Regularization,
Second order primal-dual method,
Sparsity-promoting optimal control,
Structured optimal control,
Structure identification.
[bibtex-entry]
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I. K. Ozaslan,
P. Patrinos,
and M. R. Jovanovic.
Stability of primal-dual gradient flow dynamics for multi-block convex optimization problems.
IEEE Trans. Automat. Control,
2024.
Note: Submitted; also arXiv:2408.15969.
Keyword(s): Augmented Lagrangian,
Exponential convergence,
Distributed optimization,
Global exponential stability,
Gradient flow dynamics,
Method of multipliers,
Non-smooth optimization,
Operator splitting,
Primal-dual gradient flow dynamics,
Proximal algorithms,
Proximal augmented Lagrangian,
Regularization for design.
[bibtex-entry]
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N. K. Dhingra,
S. Z. Khong,
and M. R. Jovanovic.
A second order primal-dual method for nonsmooth convex composite optimization.
IEEE Trans. Automat. Control,
67(8):4061-4076,
August 2022.
Keyword(s): Augmented Lagrangian,
Exponential convergence,
Global exponential stability,
Method of multipliers,
Non-smooth optimization,
Proximal algorithms,
Proximal augmented Lagrangian,
Regularization for design,
Second order primal-dual method,
Sparsity-promoting optimal control,
Structured optimal control,
Structure identification.
[bibtex-entry]
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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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N. K. Dhingra,
S. Z. Khong,
and M. R. Jovanovic.
The proximal augmented Lagrangian method for nonsmooth composite optimization.
IEEE Trans. Automat. Control,
64(7):2861-2868,
July 2019.
Keyword(s): Augmented Lagrangian,
Control for optimization,
Exponential convergence,
Global exponential stability,
Method of multipliers,
Non-smooth optimization,
Primal-dual gradient flow dynamics,
Proximal algorithms,
Proximal augmented Lagrangian,
Regularization for design,
Sparsity-promoting optimal control,
Structured optimal control,
Structure identification.
[bibtex-entry]
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X. Wu and M. R. Jovanovic.
Sparsity-promoting optimal control of systems with symmetries, consensus and synchronization networks.
Syst. Control Lett.,
103:1-8,
May 2017.
Keyword(s): Alternating direction method of multipliers,
Consensus and synchronization networks,
Distributed systems,
Regularization,
Sparsity-promoting optimal control,
Spatially-invariant systems.
[bibtex-entry]
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M. R. Jovanovic and N. K. Dhingra.
Controller architectures: tradeoffs between performance and structure.
Eur. J. Control,
30:76-91,
July 2016.
Keyword(s): Controller architecture,
Convex optimization,
Distributed control,
Networks of dynamical systems,
Non-smooth optimization,
Performance vs. complexity,
Regularization,
Sparsity-promoting optimal control,
Structured optimal control,
Structure identification.
[bibtex-entry]
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D. Ding,
B. Hu,
N. K. Dhingra,
and M. R. Jovanovic.
An exponentially convergent primal-dual algorithm for nonsmooth composite minimization.
In Proceedings of the 57th IEEE Conference on Decision and Control,
Miami, FL,
pages 4927-4932,
2018.
Keyword(s): Control for optimization,
Convex optimization,
Euler discretization,
Exponential convergence,
Global exponential stability,
Integral quadratic constraints,
Proximal augmented Lagrangian,
Non-smooth optimization,
Primal-dual gradient flow dynamics,
Proximal algorithms,
Regularization.
[bibtex-entry]
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N. K. Dhingra,
S. Z. Khong,
and M. R. Jovanovic.
A second order primal-dual algorithm for non-smooth convex composite optimization.
In Proceedings of the 56th IEEE Conference on Decision and Control,
Melbourne, Australia,
pages 2868-2873,
2017.
Keyword(s): Augmented Lagrangian,
Method of multipliers,
Non-smooth optimization,
Proximal methods,
Regularization,
Sparsity-promoting optimal control,
Structured optimal control,
Structure identification.
[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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Last modified: Sat Oct 5 22:00:41 2024
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