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Publications of year 2022
Journal articles
  1. H. A. Castillo, M. R. Jovanovic, S. Kumar, A. Morozov, V. Shankar, G. Subramanian, and H. J. Wilson. Understanding viscoelastic flow instabilities: Oldroyd-B and beyond. J. Non-Newtonian Fluid Mech., 302:104742 (39 pages), April 2022. Note: Part of the special issue commemorating the birth centenary of James Oldroyd. 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: {O}ldroyd-{B} and beyond},
    journal = {J. Non-Newtonian Fluid Mech.},
    volume = {302},
    pages = {104742 (39 pages)},
    month = {April},
    year = {2022},
    note = {{P}art of the special issue commemorating the birth centenary of {J}ames {O}ldroyd},
    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} 
    }
    


  2. 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, 67(8):4061-4076, August 2022. 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{dhikhojovTAC22,
    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},
    VOLUME = {67},
    NUMBER = {8},
    PAGES = {4061-4076},
    MONTH = {August},
    YEAR = {2022},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/dhikhojovTAC22.pdf},
    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} 
    }
    


  3. D. Ding, K. Zhang, J. Duan, T. Basar, and M. R. Jovanovic. Convergence and sample complexity of natural policy gradient primal-dual methods for constrained MDPs. J. Mach. Learn. Res., 2022. Note: Submitted. Keyword(s): Constrained Markov decision processes, Constrained nonconvex optimization, Function approximation, Natural policy gradient, Policy gradient methods, Primal-dual algorithms, Sample complexity.
    @ARTICLE{dinzhaduabasjovJMLR22,
    AUTHOR = {D. Ding and K. Zhang and J. Duan and T. Basar and M. R. Jovanovi\'c},
    TITLE = {Convergence and sample complexity of natural policy gradient primal-dual methods for constrained {MDP}s },
    JOURNAL = {J. Mach. Learn. Res.},
    YEAR = {2022},
    NOTE = {submitted},
    PDF = {https://arxiv.org/abs/2206.02346},
    KEYWORDS = {Constrained Markov decision processes, Constrained nonconvex optimization, Function approximation, Natural policy gradient, Policy gradient methods, Primal-dual algorithms, Sample complexity} 
    }
    


  4. A. Dwivedi, G. S. Sidharth, and M. R. Jovanovic. Oblique transition in hypersonic double-wedge flow. J. Fluid Mech., 2022. Note: Doi:10.1017/jfm.2022.697; also arXiv:2111.15153. Keyword(s): Compressible flows, Direct numerical simulations, Double-wedge flow, Flow modeling and control, Hypersonic flows, Input-output analysis, Oblique waves, Shock boundary layer interaction, Reattachment vortices, Transition to turbulence, Weakly nonlinear analysis.
    @ARTICLE{dwisidjovJFM22,
    AUTHOR = {A. Dwivedi and G. S. Sidharth and M. R. Jovanovi\'c},
    JOURNAL = {J. Fluid Mech.},
    TITLE = {Oblique transition in hypersonic double-wedge flow},
    YEAR = {2022},
    NOTE = {doi:10.1017/jfm.2022.697; also arXiv:2111.15153},
    PDF = {https://arxiv.org/abs/2111.15153},
    KEYWORDS = {Compressible flows, Direct numerical simulations, Double-wedge flow, Flow modeling and control, Hypersonic flows, Input-output analysis, Oblique waves, Shock boundary layer interaction, Reattachment vortices, Transition to turbulence, Weakly nonlinear analysis} 
    }
    


  5. H. Mohammadi, S. Samuelson, and M. R. Jovanovic. Transient growth of accelerated optimization algorithms. IEEE Trans. Automat. Control, 2022. Note: Doi:10.1109/TAC.2022.3162154; 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{mohsamjovTAC22,
    AUTHOR = {H. Mohammadi and S. Samuelson and M. R. Jovanovi\'c},
    TITLE = {Transient growth of accelerated optimization algorithms},
    JOURNAL = {IEEE Trans. Automat. Control},
    YEAR = {2022},
    NOTE = {doi:10.1109/TAC.2022.3162154; 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} 
    }
    


  6. 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, 67(5):2435-2450, May 2022. 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{mohzarsoljovTAC22,
    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},
    VOLUME = {67},
    NUMBER = {5},
    PAGES = {2435-2450},
    MONTH = {May},
    YEAR = {2022},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/mohzarsoljovTAC22.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} 
    }
    


Conference articles
  1. L. Ballotta, M. R. Jovanovic, and L. Schenato. Can decentralized control outperform centralized? The role of communication latency. In Proceedings of the 2022 IFAC Conference on Networked Systems, Zurich, Switzerland, 2022. Note: To appear. Keyword(s): Controller architecture, Fundamental limitations, Networks, Networks of dynamical systems, Noise amplification, Performance bounds, Topology design.
    @INPROCEEDINGS{baljovschIFAC22,
    AUTHOR = {L. Ballotta and M. R. Jovanovi\'c and L. Schenato},
    TITLE = {Can decentralized control outperform centralized? {T}he role of communication latency},
    BOOKTITLE = {Proceedings of the 2022 IFAC Conference on Networked Systems},
    YEAR = {2022},
    ADDRESS = {Zurich, Switzerland},
    NOTE = {to appear},
    KEYWORDS = {Controller architecture, Fundamental limitations, Networks, Networks of dynamical systems, Noise amplification, Performance bounds, Topology design} 
    }
    


  2. D. Ding and M. R. Jovanovic. Policy gradient primal-dual mirror descent for constrained MDPs with large state spaces. In Proceedings of the 61st IEEE Conference on Decision and Control, Cancun, Mexico, 2022. Note: To appear. Keyword(s): Constrained Markov decision processes, Policy gradient methods, Primal-dual algorithms, Mirror descent, Function approximation.
    @INPROCEEDINGS{dinjovCDC22,
    AUTHOR = {D. Ding and M. R. Jovanovi\'c},
    BOOKTITLE = {Proceedings of the 61st IEEE Conference on Decision and Control},
    TITLE = {Policy gradient primal-dual mirror descent for constrained {MDP}s with large state spaces},
    YEAR = {2022},
    ADDRESS = {Cancun, Mexico},
    NOTE = {to appear},
    KEYWORDS = {Constrained Markov decision processes, Policy gradient methods, Primal-dual algorithms, Mirror descent, Function approximation} 
    }
    


  3. D. Ding, X. Wei, Z. Yang, Z. Wang, and M. R. Jovanovic. Provably efficient generalized Lagrangian policy optimization for safe multi-agent reinforcement learning. In 36th Conference on Neural Information Processing Systems, New Orleans, LA, 2022. Note: Submitted. Keyword(s): Constrained Markov games, Method of Lagrange multipliers, Minimax optimization, Multi-agent reinforcement learning, Primal-dual policy optimization.
    @INPROCEEDINGS{dinweiyanwanjovNIPS22,
    AUTHOR = {D. Ding and X. Wei and Z. Yang and Z. Wang and M. R. Jovanovi\'c},
    BOOKTITLE = {36th Conference on Neural Information Processing Systems},
    TITLE = {Provably efficient generalized {L}agrangian policy optimization for safe multi-agent reinforcement learning},
    YEAR = {2022},
    ADDRESS = {New Orleans, LA},
    NOTE = {submitted},
    KEYWORDS = {Constrained Markov games, Method of Lagrange multipliers, Minimax optimization, Multi-agent reinforcement learning, Primal-dual policy optimization} 
    }
    


  4. D. Ding, C.-Y. Wei, K. Zhang, and M. R. Jovanovic. Independent policy gradient for large-scale Markov potential games: sharper rates, function approximation, and game-agnostic convergence. In 39th International Conference on Machine Learning, Baltimore, MD, 2022. Note: To appear. Keyword(s): Multi-agent reinforcement learning, Independent reinforcement learning, Policy gradient methods, Markov potential games, Function approximation, Game-agnostic convergence.
    @INPROCEEDINGS{dinweizhajovICML22,
    AUTHOR = {D. Ding and C.-Y. Wei and K. Zhang and M. R. Jovanovi\'c},
    BOOKTITLE = {39th International Conference on Machine Learning},
    TITLE = {Independent policy gradient for large-scale {M}arkov potential games: sharper rates, function approximation, and game-agnostic convergence},
    YEAR = {2022},
    ADDRESS = {Baltimore, MD},
    NOTE = {to appear},
    KEYWORDS = {Multi-agent reinforcement learning, Independent reinforcement learning, Policy gradient methods, Markov potential games, Function approximation, Game-agnostic convergence} 
    }
    


  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 2022 American Control Conference, Atlanta, GA, pages 2851-2856, 2022. Keyword(s): Constrained Markov decision processes, Policy gradient methods, Primal-dual algorithms.
    @INPROCEEDINGS{dinzhabasjovACC22,
    AUTHOR = {D. Ding and K. Zhang and T. Basar and M. R. Jovanovi\'c},
    TITLE = {Convergence and optimality of policy gradient primal-dual method for constrained {M}arkov decision processes},
    BOOKTITLE = {Proceedings of the 2022 American Control Conference},
    PAGES = {2851-2856},
    YEAR = {2022},
    ADDRESS = {Atlanta, GA},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/dinzhabasjovACC22.pdf},
    KEYWORDS = {Constrained Markov decision processes, Policy gradient methods, Primal-dual algorithms} 
    }
    


  6. A. Dwivedi and M. R. Jovanovic. A weakly nonlinear analysis of transition in a hypersonic flow. In Proceedings of the 2022 American Control Conference, Atlanta, GA, pages 4171-4176, 2022. Keyword(s): Compressible flows, Direct numerical simulations, Double-wedge flow, Flow modeling and control, Hypersonic flows, Input-output analysis, Shock boundary layer interaction, Reattachment vortices, Transition to turbulence, Weakly nonlinear analysis.
    @INPROCEEDINGS{dwijovACC22,
    AUTHOR = {A. Dwivedi and M. R. Jovanovi\'c},
    TITLE = {A weakly nonlinear analysis of transition in a hypersonic flow},
    BOOKTITLE = {Proceedings of the 2022 American Control Conference},
    PAGES = {4171-4176},
    YEAR = {2022},
    ADDRESS = {Atlanta, GA},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/dwijovACC22.pdf},
    KEYWORDS = {Compressible flows, Direct numerical simulations, Double-wedge flow, Flow modeling and control, Hypersonic flows, Input-output analysis, Shock boundary layer interaction, Reattachment vortices, Transition to turbulence, Weakly nonlinear analysis} 
    }
    


  7. 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.
    @INPROCEEDINGS{mohjovACC22,
    AUTHOR = {H. Mohammadi and M. R. Jovanovi\'c},
    TITLE = {On the noise amplification of primal-dual gradient flow dynamics based on proximal augmented {L}agrangian},
    BOOKTITLE = {Proceedings of the 2022 American Control Conference},
    PAGES = {926-931},
    YEAR = {2022},
    ADDRESS = {Atlanta, GA},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/mohjovACC22.pdf},
    KEYWORDS = {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} 
    }
    


  8. I. K. Ozaslan, S. Hassan-Moghaddam, and M. R. Jovanovic. On the asymptotic stability of proximal algorithms for convex optimization problems with multiple non-smooth regularizers. In Proceedings of the 2022 American Control Conference, Atlanta, GA, pages 132-137, 2022. Keyword(s): Control for optimization, Convex Optimization, Douglas-Rachford splitting, Global asymptotic stability, Lyapunov-based analysis, Non-smooth optimization, Proximal algorithms, Primal-dual gradient flow dynamics, Primal-dual methods, Proximal augmented Lagrangian.
    @INPROCEEDINGS{ozamogjovACC22,
    AUTHOR = {I. K. Ozaslan and S. Hassan-Moghaddam and M. R. Jovanovi\'c},
    TITLE = {On the asymptotic stability of proximal algorithms for convex optimization problems with multiple non-smooth regularizers},
    BOOKTITLE = {Proceedings of the 2022 American Control Conference},
    PAGES = {132-137},
    YEAR = {2022},
    ADDRESS = {Atlanta, GA},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/ozamogjovACC22.pdf},
    KEYWORDS = {Control for optimization, Convex Optimization, Douglas-Rachford splitting, Global asymptotic stability, Lyapunov-based analysis, Non-smooth optimization, Proximal algorithms, Primal-dual gradient flow dynamics, Primal-dual methods, Proximal augmented Lagrangian} 
    }
    


  9. I. K. Ozaslan and M. R. Jovanovic. Exponential convergence of primal-dual dynamics for multi-block problems under local error bound condition. In Proceedings of the 61th IEEE Conference on Decision and Control, Cancun, Mexico, 2022. Note: To appear. Keyword(s): Gradient flow dynamics, Lyapunov functions, Proximal algorithms, Primal-dual gradient flow dynamics, Primal-dual methods, Proximal augmented Lagrangian, Operator splitting.
    @INPROCEEDINGS{ozajovCDC22,
    AUTHOR = {I. K. Ozaslan and M. R. Jovanovi\'c},
    TITLE = {Exponential convergence of primal-dual dynamics for multi-block problems under local error bound condition},
    BOOKTITLE = {Proceedings of the 61th IEEE Conference on Decision and Control},
    YEAR = {2022},
    ADDRESS = {Cancun, Mexico},
    NOTE = {to appear},
    KEYWORDS = {Gradient flow dynamics, Lyapunov functions, Proximal algorithms, Primal-dual gradient flow dynamics, Primal-dual methods, Proximal augmented Lagrangian, Operator splitting} 
    }
    



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Last modified: Wed Aug 17 18:22:16 2022
Author: mihailo.


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