1. A. Zare. Low-complexity stochastic modeling of wall-bounded shear flows. PhD thesis, University of Minnesota, 2016. Keyword(s): Alternating minimization algorithm, Colored noise, Convex optimization, Disturbance dynamics, Flow modeling and control, Low-complexity modeling, Low-rank approximation, Matrix completion problem, Nuclear norm regularization, Structured covariances, Turbulence modeling. [bibtex-entry]



2. 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]

1. S. Hassan-Moghaddam and M. R. Jovanovic. Topology design for stochastically-forced consensus networks. IEEE Trans. Control Netw. Syst., 2017. Note: Doi:10.1109/TCNS.2017.2674962; also arXiv:1506.03437v3. Keyword(s): Consensus, Convex optimization, Distributed control, Interior point method, Proximal gradient method, Proximal Newton method, Sparse graphs, Topology design. [bibtex-entry]



2. A. Zare, Y. Chen, M. R. Jovanovic, and T. T. Georgiou. Low-complexity modeling of partially available second-order statistics: theory and an efficient matrix completion algorithm. IEEE Trans. Automat. Control, 2017. Note: Doi:10.1109/TAC.2016.2595761; also arXiv:1412.3399. Keyword(s): Alternating minimization algorithm, Convex optimization, Disturbance dynamics, Low-rank approximation, Matrix completion problems, Nuclear norm regularization, Structured covariances. [bibtex-entry]



3. A. Zare, M. R. Jovanovic, and T. T. Georgiou. Colour of turbulence. J. Fluid Mech., 812:636-680, February 2017. Keyword(s): Colored noise, Convex optimization, Disturbance dynamics, Flow modeling and control, Low-complexity modeling, Low-rank approximation, Matrix completion problems, Nuclear norm regularization, Structured covariances, Turbulence modeling. [bibtex-entry]



4. N. K. Dhingra and M. R. Jovanovic. The proximal augmented Lagrangian method for nonsmooth composite optimization. IEEE Trans. Automat. Control, 2016. Note: Submitted; also arXiv:1610.04514. Keyword(s): Augmented Lagrangian, Method of multipliers, Non-smooth optimization, Proximal methods, Regularization, Sparsity-promoting optimal control, Structured optimal control, Structure identification. [bibtex-entry]



5. 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]



6. 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]



7. 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]



8. 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]



9. F. Lin, M. Fardad, and M. R. Jovanovic. Design of optimal sparse feedback gains via the alternating direction method of multipliers. IEEE Trans. Automat. Control, 58(9):2426-2431, September 2013. Keyword(s): Alternating direction method of multipliers, Architectural issues in distributed control design, Cardinality minimization, Distributed control, Optimization, Sparsity-promoting optimal control. [bibtex-entry]



10. F. Lin and M. R. Jovanovic. Least-squares approximation of structured covariances. IEEE Trans. Automat. Control, 54(7):1643-1648, July 2009. Keyword(s): Optimization, Large-scale systems, Least-squares approximation, Structured covariances. [bibtex-entry]

1. S. Hassan-Moghaddam, X. Wu, and M. R. Jovanovic. Edge addition in directed consensus networks. In Proceedings of the 2017 American Control Conference, Seattle, WA, 2017. Note: To appear. Keyword(s): Alternating direction method of multipliers, consensus, directed networks, non-convex optimization, sparsity-promoting optimal control. [bibtex-entry]



2. J. Annoni, P. Seiler, and M. R. Jovanovic. Sparsity-promoting dynamic mode decomposition for systems with inputs. In Proceedings of the 55th IEEE Conference on Decision and Control, Las Vegas, NV, pages 6506-6511, 2016. Note: (Invited paper). Keyword(s): Dynamic Mode Decomposition, Flow modeling and control, Convex optimization, Sparsity. [bibtex-entry]



3. M. Colombino, N. K. Dhingra, M. R. Jovanovic, A. Rantzer, and R. S. Smith. On the optimal control problem for a class of monotone bilinear systems. In Proceedings of the 22nd International Symposium on Mathematical Theory of Network and Systems, Minneapolis, MN, pages 411-413, 2016. Note: (Invited paper). Keyword(s): Convex optimization, Networks, Monotone systems, Positive systems, Proximal algorithms, Optimization, Sparsity-promoting optimal control, Structured design. [bibtex-entry]



4. M. Colombino, N.K. Dhingra, M. R. Jovanovic, and Roy S. Smith. Convex reformulation of a robust optimal control problem for a class of positive systems. In Proceedings of the 55th IEEE Conference on Decision and Control, Las Vegas, NV, pages 5263-5268, 2016. Note: (Invited paper). Keyword(s): Combination drug therapy, Convex optimization, Networks, Positive systems, Proximal algorithms, Optimization, Sparsity-promoting optimal control, Structured design, Robust Control. [bibtex-entry]



5. N. K. Dhingra, M. Colombino, and M. R. Jovanovic. Leader selection in directed networks. In Proceedings of the 55th IEEE Conference on Decision and Control, Las Vegas, NV, pages 2715-2720, 2016. Note: (Invited paper). Keyword(s): Consensus networks, Convex optimization, Positive systems, Leader selection. [bibtex-entry]



6. N. K. Dhingra, M. Colombino, and M. R. Jovanovic. On the convexity of a class of structured optimal control problems for positive systems. In Proceedings of the 2016 European Control Conference, Aalborg, Denmark, pages 825-830, 2016. Keyword(s): Combination drug therapy, Convex optimization, Leader selection, Networks, Positive systems, Proximal algorithms, Optimization, Sparsity-promoting optimal control, Structured design. [bibtex-entry]



7. N. K. Dhingra and M. R. Jovanovic. A method of multipliers algorithm for sparsity-promoting optimal control. In Proceedings of the 2016 American Control Conference, Boston, MA, pages 1942-1947, 2016. Note: (Invited paper). Keyword(s): Augmented Lagrangian, Method of multipliers, Proximal algorithms, Optimization, Sparsity-promoting optimal control. [bibtex-entry]



8. N. K. Dhingra, X. Wu, and M. R. Jovanovic. Sparsity-promoting optimal control of systems with invariances and symmetries. In Proceedings of the 10th IFAC Symposium on Nonlinear Control Systems, Monterey, CA, pages 648-653, 2016. Keyword(s): Architectural issues in distributed control design, Cardinality minimization, Convex optimization, Distributed control, Sparsity-promoting optimal control, Spatially-invariant systems, Symmetric systems. [bibtex-entry]



9. C. Grussler, A. Zare, M. R. Jovanovic, and A. Rantzer. The use of the $r*$ heuristic in covariance completion problems. In Proceedings of the 55th IEEE Conference on Decision and Control, Las Vegas, NV, pages 1978-1983, 2016. Keyword(s): Convex optimization, $k$-support-norm, Low-rank approximation, Matrix completion problems, Nuclear norm regularization, Structured covariances. [bibtex-entry]



10. S. Hassan-Moghaddam, N. K. Dhingra, and M. R. Jovanovic. Topology identification of undirected consensus networks via sparse inverse covariance estimation. In Proceedings of the 55th IEEE Conference on Decision and Control, Las Vegas, NV, pages 4624-4629, 2016. Keyword(s): Consensus, Convex optimization, Sparse graphs, Topology identification, Maximum likelihood, Sparse inverse covariance estimation. [bibtex-entry]



11. S. Hassan-Moghaddam and M. R. Jovanovic. Customized algorithms for growing connected resistive networks. In Proceedings of the 10th IFAC Symposium on Nonlinear Control Systems, Monterey, CA, pages 986-991, 2016. Keyword(s): Convex optimization, Coordinate descent algorithm, Networks, Proximal algorithms. [bibtex-entry]



12. A. Zare, Y. Chen, M. R. Jovanovic, and T. T. Georgiou. An alternating minimization algorithm for structured covariance completion problems. In Proceedings of the 22nd International Symposium on Mathematical Theory of Network and Systems, Minneapolis, MN, pages 117-119, 2016. Keyword(s): Alternating minimization algorithm, Convex optimization, Disturbance dynamics, Low-rank approximation, Matrix completion problems, Nuclear norm regularization, Structured covariances. [bibtex-entry]



13. 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]



14. S. Hassan-Moghaddam and M. R. Jovanovic. An interior point method for growing connected resistive networks. In Proceedings of the 2015 American Control Conference, Chicago, IL, pages 1223-1228, 2015. Keyword(s): Consensus, Convex optimization, Distributed control, Interior point method, Sparse graphs, Topology design. [bibtex-entry]



15. 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 515-520, 2015. Keyword(s): Alternating direction method of multipliers, Alternating minimization algorithm, Convex optimization, Low-rank approximation, Matrix completion problems, Nuclear norm regularization, Structured covariances. [bibtex-entry]



16. 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 4039-4044, 2014. Note: (Invited paper). Keyword(s): Alternating direction method of multipliers, Convex optimization, Actuator selection, Sensor selection. [bibtex-entry]



17. 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]



18. M. Fardad, F. Lin, and M. R. Jovanovic. On optimal link creation for facilitation of consensus in social networks. In Proceedings of the 2014 American Control Conference, Portland, OR, pages 3802-3807, 2014. Keyword(s): Consensus, Optimization, Social influence, Social networks, Stochastic matrices. [bibtex-entry]



19. M. Fardad, X. Zhang, F. Lin, and M. R. Jovanovic. On the properties of optimal weak links in consensus networks. In Proceedings of the 53rd IEEE Conference on Decision and Control, Los Angeles, CA, pages 2124-2129, 2014. Note: (Invited paper). Keyword(s): Optimization, Perturbation analysis, Social influence, Social networks, Stochastic matrices. [bibtex-entry]



20. 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 problems, Nuclear norm regularization, Structured covariances. [bibtex-entry]



21. 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 345-354, 2014. Keyword(s): Convex optimization, Flow modeling and control, Low-rank approximation, Matrix completion problems, Nuclear norm regularization, Structured covariances. [bibtex-entry]



22. 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]



23. 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 problems, Nuclear norm regularization, Structured covariances. [bibtex-entry]



24. M. Fardad, F. Lin, X. Zhang, and M. R. Jovanovic. On new characterizations of social influence in social networks. In Proceedings of the 2013 American Control Conference, Washington, DC, pages 4784-4789, 2013. Keyword(s): Optimization, Social influence, Social networks, Stochastic matrices. [bibtex-entry]



25. M. R. Jovanovic and F. Lin. Sparse quadratic regulator. In Proceedings of the 12th European Control Conference, Zürich, Switzerland, pages 1047-1052, 2013. Keyword(s): Alternating direction method of multipliers, Cardinality minimization, Distributed control, Optimization, Sparsity-promoting optimal control. [bibtex-entry]



26. 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 problems, Nuclear norm regularization, Structured covariances. [bibtex-entry]



27. M. Fardad, X. Zhang, F. Lin, and M. R. Jovanovic. On the optimal dissemination of information in social networks. In Proceedings of the 51th IEEE Conference on Decision and Control, Maui, HI, pages 2539-2544, 2012. Keyword(s): Optimization, Social influence, Social networks, Stochastic matrices. [bibtex-entry]



28. 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]



29. 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]



30. 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]



31. F. Lin and M. R. Jovanovic. On the least-squares approximation of structured covariances. In Proceedings of the 2007 American Control Conference, New York City, NY, pages 2648-2653, 2007. Keyword(s): Optimization, Large-scale systems, Least-squares approximation, Structured covariances. [bibtex-entry]

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