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Publications of year 2020
Theses
  1. A. Dwivedi. Global input-output analysis of flow instabilities in high-speed compressible flows. PhD thesis, University of Minnesota, 2020. Keyword(s): Adjoint equations, Base-flow sensitivity, Compressible flows, Compression ramp flow, Direct numerical simulations, Energy amplification, Flow modeling and control, Global stability analysis, Hypersonic flows, Input-output analysis, Shock Boundary layer interaction, Reattachment vortices, Transient growth, Transition to turbulence.
    @PHDTHESIS{anubhav-phd20,
    AUTHOR = {A. Dwivedi},
    SCHOOL = {University of Minnesota},
    TITLE = {Global input-output analysis of flow instabilities in high-speed compressible flows},
    YEAR = {2020},
    KEYWORDS = {Adjoint equations, Base-flow sensitivity, Compressible flows, Compression ramp flow, Direct numerical simulations, Energy amplification, Flow modeling and control, Global stability analysis, Hypersonic flows, Input-output analysis, Shock Boundary layer interaction, Reattachment vortices, Transient growth, Transition to turbulence},
    PDF = {https://viterbi-web.usc.edu/~mihailo/theses/AnubhavDwivedi-PhD.pdf} 
    }
    


  2. G. Hariharan. Transition to elastic turbulence in channel flows. PhD thesis, University of Minnesota, 2020. Keyword(s): Distributed systems theory, Computational tools for spatially distributed systems, Flow modeling and control, Viscoelastic fluids, Input-output analysis, Elastic turbulence, Transition to turbulence, Uncertainty quantification in PDEs, Spatio-temporal impulse responses, Spatio-temporal frequency responses, Spectral integration method.
    @PHDTHESIS{gokul-phd20,
    AUTHOR = {G. Hariharan},
    SCHOOL = {University of Minnesota},
    TITLE = {Transition to elastic turbulence in channel flows},
    YEAR = {2020},
    KEYWORDS = {Distributed systems theory, Computational tools for spatially distributed systems, Flow modeling and control, Viscoelastic fluids, Input-output analysis, Elastic turbulence, Transition to turbulence, Uncertainty quantification in PDEs, Spatio-temporal impulse responses, Spatio-temporal frequency responses, Spectral integration method},
    PDF = {https://viterbi-web.usc.edu/~mihailo/theses/GokulHariharan-PhD.pdf} 
    }
    


  3. W. Ran. Modeling and analysis of parallel and spatially-evolving wall-bounded shear flows. PhD thesis, University of Southern California, 2020. Keyword(s): Boundary layers, Boundary layer receptivity, Control-oriented modeling, Distributed systems, Drag reduction, Energy amplification, Floquet theory, Flow modeling and control, Free-stream turbulence, Low-complexity modeling, Navier-Stokes equations, Parabolized Floquet equations, Parabolized stability equations, Riblets, Sensor-free flow control, Spatially-evolving flows, Spatially-periodic systems, Spatio-temporal frequency responses, Stochastically-forced Navier-Stokes equations, Transition to turbulence, Turbulence modeling.
    @PHDTHESIS{wei-phd20,
    AUTHOR = {W. Ran},
    SCHOOL = {University of Southern California},
    TITLE = {Modeling and analysis of parallel and spatially-evolving wall-bounded shear flows},
    YEAR = {2020},
    KEYWORDS = {Boundary layers, Boundary layer receptivity, Control-oriented modeling, Distributed systems, Drag reduction, Energy amplification, Floquet theory, Flow modeling and control, Free-stream turbulence, Low-complexity modeling, Navier-Stokes equations, Parabolized Floquet equations, Parabolized stability equations, Riblets, Sensor-free flow control, Spatially-evolving flows, Spatially-periodic systems, Spatio-temporal frequency responses, Stochastically-forced Navier-Stokes equations, Transition to turbulence, Turbulence modeling},
    PDF = {https://viterbi-web.usc.edu/~mihailo/theses/WeiRan-PhD.pdf} 
    }
    


Journal articles
  1. D. Ding, X. Wei, Z. Yang, Z. Wang, and M. R. Jovanovic. Fast multi-agent temporal-difference learning via homotopy stochastic primal-dual optimization. IEEE Trans. Automat. Control, 2020. Note: Submitted; also arXiv:1908.02805. Keyword(s): Convex optimization, Distributed temporal-difference learning, Multi-agent systems, Primal-dual algorithms, Reinforcement learning, Stochastic optimization.
    @ARTICLE{dinweiyanwanjovTAC20,
    AUTHOR = {D. Ding and X. Wei and Z. Yang and Z. Wang and M. R. Jovanovi\'c},
    TITLE = {Fast multi-agent temporal-difference learning via homotopy stochastic primal-dual optimization},
    JOURNAL = {IEEE Trans. Automat. Control},
    YEAR = {2020},
    NOTE = {submitted; also arXiv:1908.02805},
    PDF = {https://arxiv.org/abs/1908.02805},
    KEYWORDS = {Convex optimization, Distributed temporal-difference learning, Multi-agent systems, Primal-dual algorithms, Reinforcement learning, Stochastic optimization} 
    }
    


  2. A. Dwivedi, N. Hildebrand, J. W. Nichols, G. V. Candler, and M. R. Jovanovic. Transient growth analysis of oblique shock wave/boundary-layer interactions at Mach 5.92. Phys. Rev. Fluids, 5(6):063904 (20 pages), June 2020. Keyword(s): Adjoint equations, Base-flow sensitivity, Compressible flows, Direct numerical simulations, Energy amplification, Global stability analysis, Flow modeling and control, Hypersonic flows, Transient growth, Transition to turbulence.
    @ARTICLE{dwihilniccanjovPRF20,
    AUTHOR = {A. Dwivedi and N. Hildebrand and J. W. Nichols and G. V. Candler and M. R. Jovanovi\'c},
    TITLE = {Transient growth analysis of oblique shock wave/boundary-layer interactions at {M}ach 5.92},
    JOURNAL = {Phys. Rev. Fluids},
    VOLUME = {5},
    NUMBER = {6},
    MONTH = {June},
    PAGES = {063904 (20 pages)},
    YEAR = {2020},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/dwihilniccanjovPRF20.pdf},
    KEYWORDS = {Adjoint equations, Base-flow sensitivity, Compressible flows, Direct numerical simulations, Energy amplification, Global stability analysis, Flow modeling and control, Hypersonic flows, Transient growth, Transition to turbulence} 
    }
    


  3. A. Zare, T. T. Georgiou, and M. R. Jovanovic. Stochastic dynamical modeling of turbulent flows. Annu. Rev. Control Robot. Auton. Syst., 3:195-219, May 2020. 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.
    @ARTICLE{zargeojovARC20,
    AUTHOR = {A. Zare and T. T. Georgiou and M. R. Jovanovi\'c},
    TITLE = {Stochastic dynamical modeling of turbulent flows},
    JOURNAL = {Annu. Rev. Control Robot. Auton. Syst.},
    YEAR = {2020},
    VOLUME = {3},
    PAGES = {195-219},
    MONTH = {May},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/zargeojovARC20.pdf},
    KEYWORDS = {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} 
    }
    


  4. A. Zare, H. Mohammadi, N. K. Dhingra, T. T. Georgiou, and M. R. Jovanovic. Proximal algorithms for large-scale statistical modeling and sensor/actuator selection. IEEE Trans. Automat. Control, 65(8):3441-3456, August 2020. Keyword(s): Actuator selection, Augmented Lagrangian, Convex optimization, Low-rank perturbation, Matrix completion problem, Method of multipliers, Non-smooth optimization, Proximal algorithms, Regularization for design, Sensor selection, Sparsity-promoting optimal control, Structured covariances.
    @ARTICLE{zarmohdhigeojovTAC20,
    AUTHOR = {A. Zare and H. Mohammadi and N. K. Dhingra and T. T. Georgiou and M. R. Jovanovi\'c},
    TITLE = {Proximal algorithms for large-scale statistical modeling and sensor/actuator selection},
    JOURNAL = {IEEE Trans. Automat. Control},
    VOLUME = {65},
    NUMBER = {8},
    PAGES = {3441-3456},
    MONTH = {August},
    YEAR = {2020},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/zarmohdhigeojovTAC20.pdf},
    KEYWORDS = {Actuator selection, Augmented Lagrangian, Convex optimization, Low-rank perturbation, Matrix completion problem, Method of multipliers, Non-smooth optimization, Proximal algorithms, Regularization for design, Sensor selection, Sparsity-promoting optimal control, Structured covariances} 
    }
    


Conference articles
  1. D. Ding and M. R. Jovanovic. Global exponential stability of primal-dual gradient flow dynamics based on the proximal augmented Lagrangian: A Lyapunov-based approach. In Proceedings of the 59th IEEE Conference on Decision and Control, Jeju Island, Republic of Korea, pages 4836-4841, 2020. Keyword(s): Augmented Lagrangian, Control for optimization, Convex optimization, Global exponential stability, Lyapunov-based approach, Non-smooth optimization, Primal-dual gradient flow dynamics, Primal-dual methods, Proximal augmented Lagrangian.
    @INPROCEEDINGS{dinjovCDC20,
    AUTHOR = {D. Ding and M. R. Jovanovi\'c},
    TITLE = {Global exponential stability of primal-dual gradient flow dynamics based on the proximal augmented {L}agrangian: {A} {L}yapunov-based approach},
    BOOKTITLE = {Proceedings of the 59th IEEE Conference on Decision and Control},
    ADDRESS = {Jeju Island, Republic of Korea},
    YEAR = {2020},
    PAGES = {4836-4841},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/dinjovCDC20.pdf},
    KEYWORDS = {Augmented Lagrangian, Control for optimization, Convex optimization, Global exponential stability, Lyapunov-based approach, Non-smooth optimization, Primal-dual gradient flow dynamics, Primal-dual methods, Proximal augmented Lagrangian} 
    }
    


  2. D. Ding, K. Zhang, T. Basar, and M. R. Jovanovic. Natural policy gradient primal-dual method for constrained Markov decision processes. In Proceedings of the 34th Conference on Neural Information Processing Systems, Vancouver, Canada, 2020. Keyword(s): Constrained Markov decision processes, Policy gradient methods, Primal-dual algorithms, Minimax optimization.
    @INPROCEEDINGS{dinzhabasjovNIPS20,
    AUTHOR = {D. Ding and K. Zhang and T. Basar and M. R. Jovanovi\'c},
    BOOKTITLE = {Proceedings of the 34th Conference on Neural Information Processing Systems},
    TITLE = {Natural policy gradient primal-dual method for constrained {M}arkov decision processes},
    YEAR = {2020},
    ADDRESS = {Vancouver, Canada},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/dinzhabasjovNIPS20.pdf},
    KEYWORDS = {Constrained Markov decision processes, Policy gradient methods, Primal-dual algorithms, Minimax optimization} 
    }
    


  3. A. Dwivedi, G. V. Candler, and M. R. Jovanovic. A frequency domain analysis of compressible linearized Navier-Stokes equations in a hypersonic compression ramp flow. In Proceedings of the 2020 American Control Conference, Denver, CO, pages 4325-4330, 2020. Keyword(s): Compressible flows, Compression ramp flow, Flow modeling and control, Hypersonic flows, Input-Output analysis, Shock Boundary layer interaction, Reattachment vortices, Transition to turbulence.
    @INPROCEEDINGS{dwicanjovACC20,
    AUTHOR = {A. Dwivedi and G. V. Candler and M. R. Jovanovi\'c},
    TITLE = {A frequency domain analysis of compressible linearized {N}avier-{S}tokes equations in a hypersonic compression ramp flow},
    BOOKTITLE = {Proceedings of the 2020 American Control Conference},
    PAGES = {4325-4330},
    YEAR = {2020},
    ADDRESS = {Denver, CO},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/dwicanjovACC20.pdf},
    KEYWORDS = {Compressible flows, Compression ramp flow, Flow modeling and control, Hypersonic flows, Input-Output analysis, Shock Boundary layer interaction, Reattachment vortices, Transition to turbulence} 
    }
    


  4. S. Hassan-Moghaddam and M. R. Jovanovic. Global exponential stability of the Douglas-Rachford splitting dynamics. In Preprints of the 21th IFAC World Congress, Berlin, Germany, pages 7350-7354, 2020. 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.
    @INPROCEEDINGS{mogjovIFAC20,
    AUTHOR = {S. Hassan-Moghaddam and M. R. Jovanovi\'c},
    BOOKTITLE = {Preprints of the 21th IFAC World Congress},
    TITLE = {Global exponential stability of the {D}ouglas-{R}achford splitting dynamics},
    YEAR = {2020},
    ADDRESS = {Berlin, Germany},
    PAGES = {7350-7354},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/mogjovIFAC20.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} 
    }
    


  5. H. Mohammadi, M. Soltanolkotabi, and M. R. Jovanovic. Learning the model-free linear quadratic regulator via random search. In Proceedings of Machine Learning Research, 2nd Annual Conference on Learning for Dynamics and Control, volume 120, Berkeley, CA, pages 1-9, 2020. 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.
    @INPROCEEDINGS{mohsoljovL4DC20,
    AUTHOR = {H. Mohammadi and M. Soltanolkotabi and M. R. Jovanovi\'c},
    TITLE = {Learning the model-free linear quadratic regulator via random search},
    BOOKTITLE = {Proceedings of Machine Learning Research, 2nd Annual Conference on Learning for Dynamics and Control},
    VOLUME = {120},
    PAGES = {1-9},
    YEAR = {2020},
    ADDRESS = {Berkeley, CA},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/mohsoljovL4DC20.pdf},
    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} 
    }
    


  6. H. Mohammadi, M. Soltanolkotabi, and M. R. Jovanovic. Random search for learning the linear quadratic regulator. In Proceedings of the 2020 American Control Conference, Denver, CO, pages 4798-4803, 2020. 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.
    @INPROCEEDINGS{mohsoljovACC20,
    AUTHOR = {H. Mohammadi and M. Soltanolkotabi and M. R. Jovanovi\'c},
    TITLE = {Random search for learning the linear quadratic regulator},
    BOOKTITLE = {Proceedings of the 2020 American Control Conference},
    PAGES = {4798-4803},
    YEAR = {2020},
    ADDRESS = {Denver, CO},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/mohsoljovACC20.pdf},
    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} 
    }
    


  7. W. Ran, A. Zare, M. J. P. Hack, and M. R. Jovanovic. Boundary layer receptivity analysis via the algebraic Lyapunov equation. In Proceedings of the 2020 AIAA SciTech Forum and Exposition, Orlando, FL, pages 0109 (15 pages), 2020. Keyword(s): Boundary layers, Boundary layer receptivity, Control-oriented modeling, Distributed systems, Energy amplification, Flow modeling and control, Free-stream turbulence, Low-complexity modeling, Navier-Stokes equations, Spatially-evolving flows, Transition to turbulence.
    @INPROCEEDINGS{ranzarhacjovAIAA20,
    AUTHOR = {W. Ran and A. Zare and M. J. P. Hack and M. R. Jovanovi\'c},
    BOOKTITLE = {Proceedings of the 2020 AIAA SciTech Forum and Exposition},
    TITLE = {Boundary layer receptivity analysis via the algebraic {L}yapunov equation},
    PAGES = {0109 (15 pages)},
    YEAR = {2020},
    ADDRESS = {Orlando, FL},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/ranzarhacjovAIAA20.pdf},
    KEYWORDS = {Boundary layers, Boundary layer receptivity, Control-oriented modeling, Distributed systems, Energy amplification, Flow modeling and control, Free-stream turbulence, Low-complexity modeling, Navier-Stokes equations, Spatially-evolving flows, Transition to turbulence} 
    }
    


  8. W. Ran, A. Zare, and M. R. Jovanovic. Frequency-response analysis of riblets for turbulent drag reduction. In Proceedings of the 24th International Symposium on Mathematical Theory of Network and Systems, Cambridge, UK, 2020. Note: Submitted. Keyword(s): Drag reduction, Riblets, Sensor-free flow control, Spatially-periodic systems, Spatio-temporal frequency responses, Stochastically-forced Navier-Stokes equations, Turbulence modeling.
    @INPROCEEDINGS{ranzarjovMTNS20,
    AUTHOR = {W. Ran and A. Zare and M. R. Jovanovi\'c },
    BOOKTITLE = {Proceedings of the 24th International Symposium on Mathematical Theory of Network and Systems},
    TITLE = {Frequency-response analysis of riblets for turbulent drag reduction},
    YEAR = {2020},
    ADDRESS = {Cambridge, UK},
    NOTE= {submitted},
    KEYWORDS = {Drag reduction, Riblets, Sensor-free flow control, Spatially-periodic systems, Spatio-temporal frequency responses, Stochastically-forced Navier-Stokes equations, Turbulence modeling} 
    }
    


  9. S. Samuelson, H. Mohammadi, and M. R. Jovanovic. On the transient growth of Nesterov's accelerated method for strongly convex optimization problems. In Proceedings of the 59th IEEE Conference on Decision and Control, Jeju Island, Republic of Korea, pages 5911-5916, 2020. Note: (Invited paper). Keyword(s): Accelerated first-order algorithms, Control for optimization, Convex optimization, Gradient descent, Integral quadratic constraints, Nesterov's accelerated method, Nonnormal dynamics, Transient growth.
    @INPROCEEDINGS{sammohjovCDC20,
    AUTHOR = {S. Samuelson and H. Mohammadi and M. R. Jovanovi\'c},
    BOOKTITLE = {Proceedings of the 59th IEEE Conference on Decision and Control},
    TITLE = {On the transient growth of {N}esterov's accelerated method for strongly convex optimization problems},
    YEAR = {2020},
    ADDRESS = {Jeju Island, Republic of Korea},
    PAGES = {5911-5916},
    NOTE = {(Invited paper)},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/sammohjovCDC20.pdf},
    KEYWORDS = {Accelerated first-order algorithms, Control for optimization, Convex optimization, Gradient descent, Integral quadratic constraints, Nesterov's accelerated method, Nonnormal dynamics, Transient growth} 
    }
    


  10. S. Samuelson, H. Mohammadi, and M. R. Jovanovic. Transient growth of accelerated first-order methods. In Proceedings of the 2020 American Control Conference, Denver, CO, pages 2858-2863, 2020. Keyword(s): Accelerated first-order algorithms, Control for optimization, Convex optimization, Gradient descent, Transient growth.
    @INPROCEEDINGS{sammohjovACC20,
    AUTHOR = {S. Samuelson and H. Mohammadi and M. R. Jovanovi\'c},
    TITLE = {Transient growth of accelerated first-order methods},
    BOOKTITLE = {Proceedings of the 2020 American Control Conference},
    PAGES = {2858-2863},
    YEAR = {2020},
    ADDRESS = {Denver, CO},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/sammohjovACC20.pdf},
    KEYWORDS = {Accelerated first-order algorithms, Control for optimization, Convex optimization, Gradient descent, Transient growth} 
    }
    



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


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