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Publications of year 2021
Journal articles
  1. L. Ballotta, M. R. Jovanovic, and L. Schenato. Can decentralized control outperform centralized? The role of communication latency. IEEE Trans. Control Netw. Syst., 2021. Note: Submitted; also arXiv:2109.00359. Keyword(s): Controller architecture, Fundamental limitations, Networks, Networks of dynamical systems, Noise amplification, Performance bounds, Topology design.
    @ARTICLE{baljovschTCNS21,
    AUTHOR = {L. Ballotta and M. R. Jovanovi\'c and L. Schenato},
    TITLE = {Can decentralized control outperform centralized? {T}he role of communication latency},
    JOURNAL = {IEEE Trans. Control Netw. Syst.},
    YEAR = {2021},
    NOTE = {submitted; also arXiv:2109.00359},
    PDF = {https://arxiv.org/abs/2109.00359},
    KEYWORDS = {Controller architecture, Fundamental limitations, Networks, Networks of dynamical systems, Noise amplification, Performance bounds, Topology design} 
    }
    


  2. H. A. Castillo, M. R. Jovanovic, S. Kumar, A. Morozov, V. Shankar, G. Subramanian, and H. J. Wilson. Understanding viscoelastic flow instabilities using the Oldroyd-B model. J. Non-Newtonian Fluid Mech., 2021. Note: Submitted to Special issue: Oldroyd at 100: celebrating the impact of J. G. Oldroyd on Non-Newtonian Fluid Mechanics. Keyword(s): Flow modeling and control, Input-output analysis, Elastic turbulence, Energy amplification, Transition to turbulence, Uncertainty quantification in PDEs, Spatio-temporal frequency responses, Viscoelastic fluids, Viscoelastic instabilities.
    @article{oldroyd100,
    author = {H. A. Castillo and M. R. Jovanovi\'c and S. Kumar and A. Morozov and V. Shankar and G. Subramanian and H. J. Wilson},
    title = {Understanding viscoelastic flow instabilities using the {O}ldroyd-{B} model},
    journal = {J. Non-Newtonian Fluid Mech.},
    year = {2021},
    note = {submitted to {S}pecial issue: {O}ldroyd at 100: celebrating the impact of {J}.\ {G}.\ {O}ldroyd on {N}on-{N}ewtonian {F}luid {M}echanics},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/oldroyd100.pdf},
    keywords = {Flow modeling and control, Input-output analysis, Elastic turbulence, Energy amplification, Transition to turbulence, Uncertainty quantification in PDEs, Spatio-temporal frequency responses, Viscoelastic fluids, Viscoelastic instabilities} 
    }
    


  3. N. K. Dhingra, S. Z. Khong, and M. R. Jovanovic. A second order primal-dual method for nonsmooth convex composite optimization. IEEE Trans. Automat. Control, 2021. Note: Doi:10.1109/TAC.2021.3115449; also arXiv:1709.01610. Keyword(s): Augmented Lagrangian, Exponential convergence, Global exponential stability, Method of multipliers, Non-smooth optimization, Proximal algorithms, Proximal augmented Lagrangian, Regularization for design, Second order primal-dual method, Sparsity-promoting optimal control, Structured optimal control, Structure identification.
    @ARTICLE{dhikhojovTAC21,
    AUTHOR = {N. K. Dhingra and S. Z. Khong and M. R. Jovanovi\'c},
    TITLE = {A second order primal-dual method for nonsmooth convex composite optimization},
    JOURNAL = {IEEE Trans. Automat. Control},
    YEAR = {2021},
    NOTE = {doi:10.1109/TAC.2021.3115449; also arXiv:1709.01610},
    PDF = {https://arxiv.org/abs/1709.01610},
    KEYWORDS = {Augmented Lagrangian, Exponential convergence, Global exponential stability, Method of multipliers, Non-smooth optimization, Proximal algorithms, Proximal augmented Lagrangian, Regularization for design, Second order primal-dual method, Sparsity-promoting optimal control, Structured optimal control, Structure identification} 
    }
    


  4. 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.
    @article{harjovkumJNNFM21,
    author = {G. Hariharan and M. R. Jovanovi\'c and S. Kumar },
    title = {Localized stress amplification in inertialess channel flows of viscoelastic fluids},
    journal = {J. Non-Newtonian Fluid Mech.},
    volume = {291},
    pages = {104514 (14 pages)},
    month = {May},
    year = {2021},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/harjovkumJNNFM21.pdf},
    keywords = {Flow modeling and control, Viscoelastic fluids, Input-output analysis, Elastic turbulence, Transition to turbulence, Uncertainty quantification in PDEs, Spatio-temporal impulse responses} 
    }
    


  5. 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.
    @article{harkumjovJCP21,
    author = {G. Hariharan and S. Kumar and M. R. Jovanovi\'c},
    title = {Well-conditioned ultraspherical and spectral integration methods for resolvent analysis of channel flows of {N}ewtonian and viscoelastic fluids},
    journal = {J. Comput. Phys.},
    volume = {439},
    pages = {110241 (25 pages)},
    month = {August},
    year = {2021},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/harkumjovJCP21.pdf},
    keywords = {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} 
    }
    


  6. 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.
    @ARTICLE{mogjovAUT21,
    AUTHOR = {S. Hassan-Moghaddam and M. R. Jovanovi\'c},
    TITLE = {Proximal gradient flow and {D}ouglas-{R}achford splitting dynamics: global exponential stability via integral quadratic constraints},
    JOURNAL = {Automatica},
    VOLUME = {123},
    PAGES = {109311},
    MONTH = {January},
    YEAR = {2021},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/mogjovAUT21.pdf},
    KEYWORDS = {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} 
    }
    


  7. 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.
    @ARTICLE{jovARFM21,
    AUTHOR = {M. R. Jovanovi\'c},
    TITLE = {From bypass transition to flow control and data-driven turbulence modeling: {A}n input-output viewpoint},
    JOURNAL = {Annu. Rev. Fluid Mech.},
    VOLUME = {53},
    NUMBER = {1},
    PAGES = {311-345},
    MONTH = {January},
    YEAR = {2021},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/jovARFM21.pdf},
    KEYWORDS = {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} 
    }
    


  8. 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.
    @ARTICLE{mohrazjovTAC21,
    AUTHOR = {H. Mohammadi and M. Razaviyayn and M. R. Jovanovi\'c},
    TITLE = {Robustness of accelerated first-order algorithms for strongly convex optimization problems},
    JOURNAL = {IEEE Trans. Automat. Control},
    VOLUME = {66},
    NUMBER = {6},
    PAGES = {2480-2495},
    MONTH = {June},
    YEAR = {2021},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/mohrazjovTAC21.pdf},
    KEYWORDS = {Accelerated first-order algorithms, Consensus networks, Control for optimization, Convex optimization, Integral quadratic constraints, Linear matrix inequalities, Noise amplification, Second-order moments, Semidefinite programming} 
    }
    


  9. 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.
    @ARTICLE{mohsamjovTAC21,
    AUTHOR = {H. Mohammadi and S. Samuelson and M. R. Jovanovi\'c},
    TITLE = {Transient growth of accelerated first-order methods for strongly convex optimization problems},
    JOURNAL = {IEEE Trans. Automat. Control},
    YEAR = {2021},
    NOTE = {submitted; also arXiv:2103.08017},
    PDF = {https://arxiv.org/abs/2103.08017},
    KEYWORDS = {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} 
    }
    


  10. 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.
    @ARTICLE{mohsoljovLCSS21,
    AUTHOR = {H. Mohammadi and M. Soltanolkotabi and M. R. Jovanovi\'c},
    TITLE = {On the linear convergence of random search for discrete-time {LQR}},
    JOURNAL = {IEEE Control Syst. Lett.},
    VOLUME = {5},
    NUMBER = {3},
    PAGES = {989-994},
    MONTH = {July},
    YEAR = {2021},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/mohsoljovLCSS21.pdf},
    KEYWORDS = {Data-driven control, Gradient descent, Linear quadratic regulator, Model-free control, Nonconvex optimization, Optimization, Optimal control, Random search method, Reinforcement learning, Sample complexity} 
    }
    


  11. 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.
    @ARTICLE{mohzarsoljovTAC21,
    AUTHOR = {H. Mohammadi and A. Zare and M. Soltanolkotabi and M. R. Jovanovi\'c},
    TITLE = {Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem},
    JOURNAL = {IEEE Trans. Automat. Control},
    YEAR = {2021},
    NOTE = {doi:10.1109/TAC.2021.3087455; also arXiv:1912.11899},
    PDF = {https://arxiv.org/abs/1912.11899},
    KEYWORDS = {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} 
    }
    


  12. 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.
    @ARTICLE{ranzarjovJFM21,
    AUTHOR = {W. Ran and A. Zare and M. R. Jovanovi\'c},
    TITLE = {Model-based design of riblets for turbulent drag reduction},
    JOURNAL = {J. Fluid Mech.},
    YEAR = {2021},
    MONTH = {January},
    VOLUME = {906},
    PAGES = {A7 (38 pages)},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/ranzarjovJFM21.pdf},
    KEYWORDS = {Drag reduction, Riblets, Sensor-free flow control, Spatially-periodic systems, Spatio-temporal frequency responses, Stochastically-forced Navier-Stokes equations, Turbulence modeling} 
    }
    


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, pages 249-254, 2021. Keyword(s): Controller architecture, Fundamental limitations, Networks, Networks of dynamical systems, Noise amplification, Performance bounds, Topology design.
    @INPROCEEDINGS{baljovschMED21,
    AUTHOR = {L. Ballotta and M. R. Jovanovi\'c and L. Schenato},
    TITLE = {Optimal network topology of multi-agent systems subject to computation and communication latency},
    BOOKTITLE = {Proceedings of the 29th Mediterranean Conference on Control and Automation},
    PAGES = {249-254},
    YEAR = {2021},
    ADDRESS = {Bari, Italy},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/baljovschMED21.pdf},
    KEYWORDS = {Controller architecture, Fundamental limitations, Networks, Networks of dynamical systems, Noise amplification, Performance bounds, Topology design} 
    }
    


  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.
    @INPROCEEDINGS{dinweiyanwanjovAISTATS21,
    AUTHOR = {D. Ding and X. Wei and Z. Yang and Z. Wang and M. R. Jovanovi\'c},
    BOOKTITLE = {24th International Conference on Artificial Intelligence and Statistics},
    TITLE = {Provably efficient safe exploration via primal-dual policy optimization},
    YEAR = {2021},
    ADDRESS = {Virtual},
    VOLUME = {130},
    PAGES = {3304-3312},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/dinweiyanwanjovAISTATS21.pdf},
    KEYWORDS = {Safe reinforcement learning, Constrained Markov decision processes, Safe exploration, Proximal policy optimization, Non-convex optimization, Online mirror descent, Primal-dual method} 
    }
    


  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, pages 2260-2265, 2021. Keyword(s): Byzantine primal-dual optimization, Constrained optimization, Distributed optimization, Robust statistical learning.
    @INPROCEEDINGS{dinweiyujovACC21,
    AUTHOR = {D. Ding and X. Wei and H. Yu and M. R. Jovanovi\'c},
    BOOKTITLE = {Proceedings of the 2021 American Control Conference},
    TITLE = {Byzantine-resilient distributed learning under constraints},
    YEAR = {2021},
    ADDRESS = {New Orleans, LA},
    PAGES = {2260-2265},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/dinweiyujovACC21.pdf},
    KEYWORDS = {Byzantine primal-dual optimization, Constrained optimization, Distributed optimization, Robust statistical learning} 
    }
    


  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, pages 1547-1552, 2021. Keyword(s): Discounted online Newton method, Time-varying time series prediction, Online learning, COVID-19 prediction.
    @INPROCEEDINGS{dinyuajovACC21,
    AUTHOR = {D. Ding and J. Yuan and M. R. Jovanovi\'c},
    BOOKTITLE = {Proceedings of the 2021 American Control Conference},
    TITLE = {Discounted online {N}ewton method for time-varying time series prediction},
    YEAR = {2021},
    ADDRESS = {New Orleans, LA},
    PAGES = {1547-1552},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/dinyuajovACC21.pdf},
    KEYWORDS = {Discounted online Newton method, Time-varying time series prediction, Online learning, COVID-19 prediction} 
    }
    


  5. 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: To appear. 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.
    @INPROCEEDINGS{mohsoljovCDC21,
    AUTHOR = {H. Mohammadi and M. Soltanolkotabi and M. R. Jovanovi\'c},
    TITLE = {On the lack of gradient domination for linear quadratic {G}aussian problems with incomplete state information},
    BOOKTITLE = {Proceedings of the 60th IEEE Conference on Decision and Control},
    YEAR = {2021},
    ADDRESS = {Austin, TX},
    NOTE = {to appear},
    KEYWORDS = {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} 
    }
    


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.
    @INCOLLECTION{mohsoljovRLC21,
    AUTHOR = {H. Mohammadi and M. Soltanolkotabi and M. R. Jovanovi\'c},
    EDITOR = {K. G. Vamvoudakis and Y. Wan and F. Lewis and D. Cansever},
    TITLE = {Model-free linear quadratic regulator},
    BOOKTITLE = {Handbook of Reinforcement Learning and Control},
    PUBLISHER = {Springer International Publishing},
    NOTE = {doi:10.1007/978-3-030-60990-0},
    YEAR = {2021},
    KEYWORDS = {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},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/mohsoljovRLC21.pdf} 
    }
    



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Last modified: Fri Nov 5 14:30:02 2021
Author: mihailo.


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