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Publications about 'Convex optimization'
Theses
  1. F. Lin. Structure identification and optimal design of large-scale 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, Sparsity-promoting optimal control. [bibtex-entry]


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


  2. F. Lin, M. Fardad, and M. R. Jovanovic. Algorithms for leader selection in stochastically forced consensus networks. IEEE Trans. Automat. Control, 59(7):1789-1802, July 2014. Keyword(s): Alternating direction method of multipliers, Consensus networks, Convex optimization, Greedy algorithm, Leader selection, Performance bounds, Sparsity. [bibtex-entry]


  3. R. Moarref, M. R. Jovanovic, J. A. Tropp, A. S. Sharma, and B. J. McKeon. A low-order 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, Low-rank approximation. [bibtex-entry]


Conference articles
  1. S. H. Moghaddam and M. R. Jovanovic. An interior point method for growing connected resistive networks. In Proceedings of the 2015 American Control Conference, Chicago, IL, 2015. Note: Submitted. Keyword(s): Consensus, Convex optimization, Distributed control, Interior point method, Sparse graphs. [bibtex-entry]


  2. 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, 2015. Note: Submitted. Keyword(s): Alternating direction method of multipliers, Alternating minimization algorithm, Convex optimization, Low-rank approximation, Matrix completion problem, Nuclear norm regularization, Structured covariances. [bibtex-entry]


  3. 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, 2014. Note: To appear; (Invited paper). Keyword(s): Alternating direction method of multipliers, Convex optimization, Actuator selection, Sensor selection. [bibtex-entry]


  4. 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 2438-2443, 2014. Keyword(s): Architectural issues in distributed control design, Cardinality minimization, Convex optimization, Distributed control, Sparsity-promoting optimal control. [bibtex-entry]


  5. 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 1680-1685, 2014. Note: (Invited paper; Finalist, Best Student Paper Award). Keyword(s): Alternating direction method of multipliers, Convex optimization, Flow modeling and control, Low-rank approximation, Matrix completion problem, Nuclear norm regularization, Structured covariances. [bibtex-entry]


  6. 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, 2014. Note: To appear. Keyword(s): Convex optimization, Flow modeling and control, Low-rank approximation, Matrix completion problem, Nuclear norm regularization, Structured covariances. [bibtex-entry]


  7. D. M. Zoltowski, N. K. Dhingra, F. Lin, and M. R. Jovanovic. Sparsity-promoting optimal control of spatially-invariant systems. In Proceedings of the 2014 American Control Conference, Portland, OR, pages 1261-1266, 2014. Keyword(s): Architectural issues in distributed control design, Cardinality minimization, Convex optimization, Distributed control, Sparsity-promoting optimal control, Spatially-invariant systems. [bibtex-entry]


  8. 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 1702-1707, 2013. Keyword(s): Convex optimization, Low-rank approximation, Matrix completion problem, Nuclear norm regularization, Structured covariances. [bibtex-entry]


  9. 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 1684-1689, 2013. Keyword(s): Alternating direction method of multipliers, Convex optimization, Low-rank approximation, Matrix completion problem, Nuclear norm regularization, Structured covariances. [bibtex-entry]


  10. M. R. Jovanovic, P. J. Schmid, and J. W. Nichols. Low-rank and sparse dynamic mode decomposition. In Center for Turbulence Research Annual Research Briefs, pages 139-152, 2012. Keyword(s): Dynamic Mode Decomposition, Flow modeling and control, Convex optimization, Sparsity. [bibtex-entry]


  11. M. Fardad, F. Lin, and M. R. Jovanovic. Algorithms for leader selection in large dynamical networks: noise-free leaders. In Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, Orlando, FL, pages 7188-7193, 2011. Keyword(s): Consensus networks, Convex optimization, Leader selection, Performance bounds, Sparsity. [bibtex-entry]


  12. F. Lin, M. Fardad, and M. R. Jovanovic. Algorithms for leader selection in large dynamical networks: noise-corrupted leaders. In Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, Orlando, FL, pages 2932-2937, 2011. Keyword(s): Alternating direction method of multipliers, Consensus networks, Convex optimization, Greedy algorithm, Leader selection, Performance bounds, Sparsity. [bibtex-entry]



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Last modified: Fri Oct 31 17:00:00 2014
Author: mihailo.


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