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Publications about 'Convex optimization'


F. Lin.
Structure identification and optimal design of largescale networks of dynamical systems.
PhD thesis,
University of Minnesota,
2012.
Keyword(s): Alternating direction method of multipliers,
Architectural issues in distributed control design,
Consensus networks,
Control of vehicular formations,
Convex Optimization,
Leader selection,
Sparsitypromoting optimal control.
[bibtexentry]

S. HassanMoghaddam and M. R. Jovanovic.
An interiorpoint method for topology identification and optimal design of noisy networks.
IEEE Trans. Control Netw. Syst.,
2015.
Note: Submitted; also arXiv:1506.03437.
Keyword(s): Consensus,
Convex optimization,
Distributed control,
Interior point method,
Sparse graphs.
[bibtexentry]

M. R. Jovanovic,
P. J. Schmid,
and J. W. Nichols.
Sparsitypromoting dynamic mode decomposition.
Phys. Fluids,
26(2):024103 (22 pages),
February 2014.
Keyword(s): Dynamic Mode Decomposition,
Flow modeling and control,
Convex optimization,
Sparsity.
[bibtexentry]

F. Lin,
M. Fardad,
and M. R. Jovanovic.
Algorithms for leader selection in stochastically forced consensus networks.
IEEE Trans. Automat. Control,
59(7):17891802,
July 2014.
Keyword(s): Alternating direction method of multipliers,
Consensus networks,
Convex optimization,
Greedy algorithm,
Leader selection,
Performance bounds,
Sparsity.
[bibtexentry]

R. Moarref,
M. R. Jovanovic,
J. A. Tropp,
A. S. Sharma,
and B. J. McKeon.
A loworder decomposition of turbulent channel flow via resolvent analysis and convex optimization.
Phys. Fluids,
26(5):051701 (7 pages),
May 2014.
Keyword(s): Flow modeling and control,
Convex optimization,
Lowrank approximation.
[bibtexentry]

A. Zare,
Y. Chen,
M. R. Jovanovic,
and T. T. Georgiou.
Lowcomplexity modeling of partially available secondorder statistics via matrix completion.
IEEE Trans. Automat. Control,
2014.
Note: Submitted; also arXiv:1412.3399v1.
Keyword(s): Alternating minimization algorithm,
Convex optimization,
Disturbance dynamics,
Lowrank approximation,
Matrix completion problems,
Nuclear norm regularization,
Structured covariances.
[bibtexentry]

N. K. Dhingra,
M. R. Jovanovic,
and Z. Q. Luo.
Optimal sensor and actuator selection for largescale dynamical systems.
In Proceedings of the 2015 Asilomar Conference on Signals, Systems, and Computers,
Pacific Grove, CA,
2015.
Note: To appear.
Keyword(s): Alternating direction method of multipliers,
Convex optimization,
Actuator selection,
Sensor selection.
[bibtexentry]

S. HassanMoghaddam and M. R. Jovanovic.
An interior point method for growing connected resistive networks.
In Proceedings of the 2015 American Control Conference,
Chicago, IL,
pages 12231228,
2015.
Keyword(s): Consensus,
Convex optimization,
Distributed control,
Interior point method,
Sparse graphs,
Topology identification.
[bibtexentry]

A. Zare,
M. R. Jovanovic,
and T. T. Georgiou.
Alternating direction optimization algorithms for covariance completion problems.
In Proceedings of the 2015 American Control Conference,
Chicago, IL,
pages 515520,
2015.
Keyword(s): Alternating direction method of multipliers,
Alternating minimization algorithm,
Convex optimization,
Lowrank approximation,
Matrix completion problem,
Nuclear norm regularization,
Structured covariances.
[bibtexentry]

N. K. Dhingra,
M. R. Jovanovic,
and Z. Q. Luo.
An ADMM algorithm for optimal sensor and actuator selection.
In Proceedings of the 53rd IEEE Conference on Decision and Control,
Los Angeles, CA,
pages 40394044,
2014.
Note: (Invited paper).
Keyword(s): Alternating direction method of multipliers,
Convex optimization,
Actuator selection,
Sensor selection.
[bibtexentry]

M. Fardad and M. R. Jovanovic.
On the design of optimal structured and sparse feedback gains using semidefinite programming.
In Proceedings of the 2014 American Control Conference,
Portland, OR,
pages 24382443,
2014.
Keyword(s): Architectural issues in distributed control design,
Cardinality minimization,
Convex optimization,
Distributed control,
Sparsitypromoting optimal control.
[bibtexentry]

A. Zare,
M. R. Jovanovic,
and T. T. Georgiou.
Completion of partially known turbulent flow statistics.
In Proceedings of the 2014 American Control Conference,
Portland, OR,
pages 16801685,
2014.
Note: (Invited paper; Finalist, Best Student Paper Award).
Keyword(s): Alternating direction method of multipliers,
Convex optimization,
Flow modeling and control,
Lowrank approximation,
Matrix completion problem,
Nuclear norm regularization,
Structured covariances.
[bibtexentry]

A. Zare,
M. R. Jovanovic,
and T. T. Georgiou.
Completion of partially known turbulent flow statistics via convex optimization.
In Proceedings of the 2014 Summer Program,
Center for Turbulence Research, Stanford University/NASA,
pages 345354,
2014.
Keyword(s): Convex optimization,
Flow modeling and control,
Lowrank approximation,
Matrix completion problem,
Nuclear norm regularization,
Structured covariances.
[bibtexentry]

D. M. Zoltowski,
N. K. Dhingra,
F. Lin,
and M. R. Jovanovic.
Sparsitypromoting optimal control of spatiallyinvariant systems.
In Proceedings of the 2014 American Control Conference,
Portland, OR,
pages 12611266,
2014.
Keyword(s): Architectural issues in distributed control design,
Cardinality minimization,
Convex optimization,
Distributed control,
Sparsitypromoting optimal control,
Spatiallyinvariant systems.
[bibtexentry]

Y. Chen,
M. R. Jovanovic,
and T. T. Georgiou.
State covariances and the matrix completion problem.
In Proceedings of the 52nd IEEE Conference on Decision and Control,
Florence, Italy,
pages 17021707,
2013.
Keyword(s): Convex optimization,
Lowrank approximation,
Matrix completion problem,
Nuclear norm regularization,
Structured covariances.
[bibtexentry]

F. Lin,
M. R. Jovanovic,
and T. T. Georgiou.
An ADMM algorithm for matrix completion of partially known state covariances.
In Proceedings of the 52nd IEEE Conference on Decision and Control,
Florence, Italy,
pages 16841689,
2013.
Keyword(s): Alternating direction method of multipliers,
Convex optimization,
Lowrank approximation,
Matrix completion problem,
Nuclear norm regularization,
Structured covariances.
[bibtexentry]

M. R. Jovanovic,
P. J. Schmid,
and J. W. Nichols.
Lowrank and sparse dynamic mode decomposition.
In Center for Turbulence Research Annual Research Briefs,
pages 139152,
2012.
Keyword(s): Dynamic Mode Decomposition,
Flow modeling and control,
Convex optimization,
Sparsity.
[bibtexentry]

M. Fardad,
F. Lin,
and M. R. Jovanovic.
Algorithms for leader selection in large dynamical networks: noisefree leaders.
In Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference,
Orlando, FL,
pages 71887193,
2011.
Keyword(s): Consensus networks,
Convex optimization,
Leader selection,
Performance bounds,
Sparsity.
[bibtexentry]

F. Lin,
M. Fardad,
and M. R. Jovanovic.
Algorithms for leader selection in large dynamical networks: noisecorrupted leaders.
In Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference,
Orlando, FL,
pages 29322937,
2011.
Keyword(s): Alternating direction method of multipliers,
Consensus networks,
Convex optimization,
Greedy algorithm,
Leader selection,
Performance bounds,
Sparsity.
[bibtexentry]
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