1. H. Mohammadi, M. Razaviyayn, and M. R. Jovanovic. Robustness of accelerated first-order algorithms for strongly convex optimization problems. IEEE Trans. Automat. Control, 66(6):2480-2495, June 2021. Keyword(s): Accelerated first-order algorithms, Consensus networks, Control for optimization, Convex optimization, Integral quadratic constraints, Linear matrix inequalities, Noise amplification, Second-order moments, Semidefinite programming. [bibtex-entry]

1. H. Mohammadi and M. R. Jovanovic. On the noise amplification of primal-dual gradient flow dynamics based on proximal augmented Lagrangian. In Proceedings of the 2022 American Control Conference, Atlanta, GA, pages 926-931, 2022. Keyword(s): Control for optimization, Convex Optimization, Integral quadratic constraints, Linear matrix inequalities, Noise amplification, Non-smooth optimization, Proximal algorithms, Primal-dual gradient flow dynamics, Primal-dual methods, Proximal augmented Lagrangian, Second-order moments, Semidefinite programming. [bibtex-entry]



2. H. Mohammadi, M. Razaviyayn, and M. R. Jovanovic. Performance of noisy Nesterov's accelerated method for strongly convex optimization problems. In Proceedings of the 2019 American Control Conference, Philadelphia, PA, pages 3426-3431, 2019. Keyword(s): Accelerated first-order algorithms, Control for optimization, Convex optimization, Integral quadratic constraints, Linear matrix inequalities, Noise amplification, Second-order moments, Semidefinite programming. [bibtex-entry]



3. A. Zare and M. R. Jovanovic. Optimal sensor selection via proximal optimization algorithms. In Proceedings of the 57th IEEE Conference on Decision and Control, Miami, FL, pages 6514-6519, 2018. Keyword(s): Convex optimization, Proximal algorithms, Sensor selection, Semidefinite programming, Sparsity-promoting estimation and control, Quasi-Newton methods. [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]

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