Back to MJ's Publications

Publications of year 2021
Journal articles
  1. G. Hariharan, M. R. Jovanovic, and S. Kumar. Localized stress amplification in inertialess channel flows of viscoelastic fluids. J. Non-Newtonian Fluid Mech., 291:104514 (14 pages), May 2021. Keyword(s): Flow modeling and control, Viscoelastic fluids, Input-output analysis, Elastic turbulence, Transition to turbulence, Uncertainty quantification in PDEs, Spatio-temporal impulse responses. [bibtex-entry]


  2. G. Hariharan, S. Kumar, and M. R. Jovanovic. Well-conditioned ultraspherical and spectral integration methods for resolvent analysis of channel flows of Newtonian and viscoelastic fluids. J. Comput. Phys., 439:110241 (25 pages), August 2021. Keyword(s): Distributed systems theory, Computational tools for spatially distributed systems, Flow modeling and control, Input-output analysis, Spatio-temporal frequency responses, Spectral integration method, Uncertainty quantification in PDEs. [bibtex-entry]


  3. S. Hassan-Moghaddam and M. R. Jovanovic. Proximal gradient flow and Douglas-Rachford splitting dynamics: global exponential stability via integral quadratic constraints. Automatica, 123:109311, January 2021. Keyword(s): Control for optimization, Convex Optimization, Forward-backward envelope, Douglas-Rachford splitting, Global exponential stability, Integral quadratic constraints, Non-smooth optimization, Polyak-Lojasiewicz inequality, Proximal algorithms, Primal-dual methods, Proximal augmented Lagrangian. [bibtex-entry]


  4. M. R. Jovanovic. From bypass transition to flow control and data-driven turbulence modeling: An input-output viewpoint. Annu. Rev. Fluid Mech., 53(1):311-345, January 2021. Keyword(s): Colored noise, Convex optimization, Drag reduction, Energy amplification, Flow modeling and control, Input-output analysis, Low-complexity modeling, Low-rank approximation, Matrix completion problems, Navier-Stokes equations, Nuclear norm regularization, Simulation-free design, Structured covariances, Transition to turbulence, Turbulence modeling. [bibtex-entry]


  5. 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]


  6. H. Mohammadi, S. Samuelson, and M. R. Jovanovic. Transient growth of accelerated first-order methods for strongly convex optimization problems. IEEE Trans. Automat. Control, 2021. Note: Submitted; also arXiv:2103.08017. Keyword(s): Accelerated first-order algorithms, Control for optimization, Convex optimization, Gradient descent, Heavy-ball method, Integral quadratic constraints, Nesterov's accelerated method, Nonnormal dynamics, Transient growth. [bibtex-entry]


  7. H. Mohammadi, M. Soltanolkotabi, and M. R. Jovanovic. On the linear convergence of random search for discrete-time LQR. IEEE Control Syst. Lett., 5(3):989-994, July 2021. Keyword(s): Data-driven control, Gradient descent, Linear quadratic regulator, Model-free control, Nonconvex optimization, Optimization, Optimal control, Random search method, Reinforcement learning, Sample complexity. [bibtex-entry]


  8. H. Mohammadi, A. Zare, M. Soltanolkotabi, and M. R. Jovanovic. Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem. IEEE Trans. Automat. Control, 2021. Note: Doi:10.1109/TAC.2021.3087455; also arXiv:1912.11899. Keyword(s): Data-driven control, Gradient descent, Gradient-flow dynamics, Linear quadratic regulator, Model-free control, Nonconvex optimization, Optimization, Optimal control, Polyak-Lojasiewicz inequality, Random search method, Reinforcement learning, Sample complexity. [bibtex-entry]


  9. W. Ran, A. Zare, and M. R. Jovanovic. Model-based design of riblets for turbulent drag reduction. J. Fluid Mech., 906:A7 (38 pages), January 2021. Keyword(s): Drag reduction, Riblets, Sensor-free flow control, Spatially-periodic systems, Spatio-temporal frequency responses, Stochastically-forced Navier-Stokes equations, Turbulence modeling. [bibtex-entry]


Conference articles
  1. L. Ballotta, M. R. Jovanovic, and L. Schenato. Optimal network topology of multi-agent systems subject to computation and communication latency. In Proceedings of the 29th Mediterranean Conference on Control and Automation, Bari, Italy, 2021. Note: To appear. Keyword(s): Controller architecture, Fundamental limitations, Networks, Networks of dynamical systems, Noise amplification, Performance bounds, Topology design. [bibtex-entry]


  2. D. Ding, X. Wei, Z. Yang, Z. Wang, and M. R. Jovanovic. Provably efficient safe exploration via primal-dual policy optimization. In 24th International Conference on Artificial Intelligence and Statistics, volume 130, Virtual, pages 3304-3312, 2021. Keyword(s): Safe reinforcement learning, Constrained Markov decision processes, Safe exploration, Proximal policy optimization, Non-convex optimization, Online mirror descent, Primal-dual method. [bibtex-entry]


  3. D. Ding, X. Wei, H. Yu, and M. R. Jovanovic. Byzantine-resilient distributed learning under constraints. In Proceedings of the 2021 American Control Conference, New Orleans, LA, 2021. Note: To appear. Keyword(s): Byzantine primal-dual optimization, Constrained optimization, Distributed optimization, Robust statistical learning. [bibtex-entry]


  4. D. Ding, J. Yuan, and M. R. Jovanovic. Discounted online Newton method for time-varying time series prediction. In Proceedings of the 2021 American Control Conference, New Orleans, LA, 2021. Note: To appear. Keyword(s): Discounted online Newton method, Time-varying time series prediction, Online learning, COVID-19 prediction. [bibtex-entry]


  5. D. Ding, K. Zhang, T. Basar, and M. R. Jovanovic. Convergence and optimality of policy gradient primal-dual method for constrained Markov decision processes. In Proceedings of the 60th IEEE Conference on Decision and Control, Austin, TX, 2021. Note: Submitted. Keyword(s): Constrained Markov decision processes, Policy gradient methods, Primal-dual algorithms, Minimax optimization. [bibtex-entry]


  6. H. Mohammadi, M. Soltanolkotabi, and M. R. Jovanovic. On the lack of gradient domination for linear quadratic Gaussian problems with incomplete state information. In Proceedings of the 60th IEEE Conference on Decision and Control, Austin, TX, 2021. Note: Submitted. Keyword(s): Data-driven control, Gradient descent, Gradient-flow dynamics, Model-free control, Nonconvex optimization, Optimization, Optimal control, Polyak-Lojasiewicz inequality, Random search method, Reinforcement learning, Sample complexity. [bibtex-entry]


Book chapters
  1. H. Mohammadi, M. Soltanolkotabi, and M. R. Jovanovic. Model-free linear quadratic regulator. In K. G. Vamvoudakis, Y. Wan, F. Lewis, and D. Cansever, editors, Handbook of Reinforcement Learning and Control. Springer International Publishing, 2021. Note: Doi:10.1007/978-3-030-60990-0. Keyword(s): Data-driven control, Gradient descent, Gradient-flow dynamics, Linear quadratic regulator, Model-free control, Nonconvex optimization, Optimization, Optimal control, Polyak-Lojasiewicz inequality, Random search method, Reinforcement learning, Sample complexity. [bibtex-entry]



Back to MJ's Publications




Disclaimer:

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All person copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.




Last modified: Mon Jun 7 10:25:01 2021
Author: mihailo.


This document was translated from BibTEX by bibtex2html