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Publications of year 2023
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., 10(3):1629-1640, September 2023. Keyword(s): Controller architecture, Fundamental limitations, Networks, Networks of dynamical systems, Noise amplification, Performance bounds, Topology design.
    @ARTICLE{baljovschTCNS23,
    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.},
    VOLUME = {10},
    NUMBER = {3},
    PAGES = {1629-1640},
    MONTH = {September},
    year={2023},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/baljovschTCNS23.pdf},
    KEYWORDS = {Controller architecture, Fundamental limitations, Networks, Networks of dynamical systems, Noise amplification, Performance bounds, Topology design} 
    }
    


  2. H. Mohammadi, S. Samuelson, and M. R. Jovanovic. Transient growth of accelerated optimization algorithms. IEEE Trans. Automat. Control, 68(3):1823-1830, March 2023. 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{mohsamjovTAC23,
    AUTHOR = {H. Mohammadi and S. Samuelson and M. R. Jovanovi\'c},
    TITLE = {Transient growth of accelerated optimization algorithms},
    JOURNAL = {IEEE Trans. Automat. Control},
    VOLUME = {68},
    NUMBER = {3},
    PAGES = {1823-1830},
    MONTH = {March},
    YEAR = {2023},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/mohsamjovTAC23.pdf},
    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} 
    }
    


  3. I. K. Ozaslan and M. R. Jovanovic. Accelerated forward-backward and Douglas-Rachford splitting dynamics. Automatica, 2023. Note: Submitted. Keyword(s): Accelerated first-order algorithms, Control for optimization, Convex Optimization, Forward-backward envelope, Douglas-Rachford splitting, Global exponential stability, Integral quadratic constraints, Nesterov's accelerated method, Non-smooth optimization, Proximal algorithms.
    @ARTICLE{ozajovAUT23,
    AUTHOR = {I. K. Ozaslan and M. R. Jovanovi\'c},
    TITLE = {Accelerated forward-backward and {D}ouglas-{R}achford splitting dynamics},
    JOURNAL = {Automatica},
    YEAR = {2023},
    NOTE = {submitted},
    KEYWORDS = {Accelerated first-order algorithms, Control for optimization, Convex Optimization, Forward-backward envelope, Douglas-Rachford splitting, Global exponential stability, Integral quadratic constraints, Nesterov's accelerated method, Non-smooth optimization, Proximal algorithms} 
    }
    


  4. I. K. Ozaslan, H. Mohammadi, and M. R. Jovanovic. Computing stabilizing feedback gains via a model-free policy gradient method. IEEE Control Syst. Lett., 7:407-412, July 2023. 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{ozamohjovLCSS23,
    AUTHOR = {I. K. Ozaslan and H. Mohammadi and M. R. Jovanovi\'c},
    TITLE = {Computing stabilizing feedback gains via a model-free policy gradient method},
    JOURNAL = {IEEE Control Syst. Lett.},
    VOLUME = {7},
    PAGES = {407-412},
    MONTH = {July},
    YEAR = {2023},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/ozamohjovLCSS23.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} 
    }
    


Conference articles
  1. 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 Proceedings of 5th Annual Conference on Learning for Dynamics and Control, volume 211 of Proceedings of Machine Learning Research, Philadelphia, PA, pages 315-332, 2023. Keyword(s): Constrained Markov games, Method of Lagrange multipliers, Minimax optimization, Multi-agent reinforcement learning, Primal-dual policy optimization.
    @INPROCEEDINGS{dinweiyanwanjovL4DC23,
    AUTHOR = {D. Ding and X. Wei and Z. Yang and Z. Wang and M. R. Jovanovi\'c},
    TITLE = {Provably efficient generalized {L}agrangian policy optimization for safe multi-agent reinforcement learning},
    BOOKTITLE = {Proceedings of 5th Annual Conference on Learning for Dynamics and Control},
    SERIES = {Proceedings of Machine Learning Research},
    VOLUME = {211},
    YEAR = {2023},
    PAGES = {315-332},
    ADDRESS = {Philadelphia, PA},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/dinweiyanwanjovL4DC23.pdf},
    KEYWORDS = {Constrained Markov games, Method of Lagrange multipliers, Minimax optimization, Multi-agent reinforcement learning, Primal-dual policy optimization} 
    }
    


  2. A. Dwivedi and M. R. Jovanovic. Energy amplification of stochastically-forced hypersonic blunt body flows. In Proceedings of the 2023 American Control Conference, San Diego, CA, pages 1596-1601, 2023. Keyword(s): Compressible flows, Input-output analysis, Energy amplification, Flow modeling and control, High-speed compressible boundary layers, Hypersonic flows, Transition to turbulence.
    @INPROCEEDINGS{dwijovACC23,
    AUTHOR = {A. Dwivedi and M. R. Jovanovi\'c},
    TITLE = {Energy amplification of stochastically-forced hypersonic blunt body flows},
    BOOKTITLE = {Proceedings of the 2023 American Control Conference},
    YEAR = {2023},
    PAGES = {1596-1601},
    ADDRESS = {San Diego, CA},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/dwijovACC23.pdf},
    KEYWORDS = {Compressible flows, Input-output analysis, Energy amplification, Flow modeling and control, High-speed compressible boundary layers, Hypersonic flows, Transition to turbulence} 
    }
    


  3. A. Dwivedi and M. R. Jovanovic. Noise amplification in hypersonic blunt body flows. In Proceedings of the 2023 AIAA Aviation and Aeronautics Forum, San Diego, CA, pages 3709 (12 pages), 2023. Keyword(s): Compressible flows, Input-output analysis, Energy amplification, Flow modeling and control, High-speed compressible boundary layers, Hypersonic flows, Transition to turbulence.
    @INPROCEEDINGS{dwijovAIAA23,
    AUTHOR = {A. Dwivedi and M. R. Jovanovi\'c},
    TITLE = {Noise amplification in hypersonic blunt body flows},
    BOOKTITLE = {Proceedings of the 2023 AIAA Aviation and Aeronautics Forum},
    YEAR = {2023},
    PAGES = {3709 (12 pages)},
    ADDRESS = {San Diego, CA},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/dwijovAIAA23.pdf},
    KEYWORDS = {Compressible flows, Input-output analysis, Energy amplification, Flow modeling and control, High-speed compressible boundary layers, Hypersonic flows, Transition to turbulence} 
    }
    


  4. H. Mohammadi, M. Razaviyayn, and M. R. Jovanovic. Noise amplification of momentum-based optimization algorithms. In Proceedings of the 2023 American Control Conference, San Diego, CA, pages 849-854, 2023. Keyword(s): Accelerated first-order algorithms, Control for optimization, Convergence rate, Convex optimization, Gradient descent, Heavy-ball method, Nesterov's accelerated method, Noise amplification, Nonnormal dynamics, Two-step momentum algorithm.
    @INPROCEEDINGS{mohrazjovACC23,
    AUTHOR = {H. Mohammadi and M. Razaviyayn and M. R. Jovanovi\'c},
    TITLE = {Noise amplification of momentum-based optimization algorithms},
    BOOKTITLE = {Proceedings of the 2023 American Control Conference},
    YEAR = {2023},
    PAGES = {849-854},
    ADDRESS = {San Diego, CA},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/mohrazjovACC23.pdf},
    KEYWORDS = {Accelerated first-order algorithms, Control for optimization, Convergence rate, Convex optimization, Gradient descent, Heavy-ball method, Nesterov's accelerated method, Noise amplification, Nonnormal dynamics, Two-step momentum algorithm} 
    }
    


  5. I. K. Ozaslan and M. R. Jovanovic. On the global exponential stability of primal-dual dynamics for convex problems with linear equality constraints. In Proceedings of the 2023 American Control Conference, San Diago, CA, pages 210-215, 2023. Keyword(s): Global exponential stability, Gradient flow dynamics, Lagrangian, Lyapunov functions, Primal-dual methods.
    @INPROCEEDINGS{ozajovACC23,
    AUTHOR = {I. K. Ozaslan and M. R. Jovanovi\'c},
    TITLE = {On the global exponential stability of primal-dual dynamics for convex problems with linear equality constraints},
    BOOKTITLE = {Proceedings of the 2023 American Control Conference},
    YEAR = {2023},
    PAGES = {210-215},
    ADDRESS = {San Diago, CA},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/ozajovACC23.pdf},
    KEYWORDS = {Global exponential stability, Gradient flow dynamics, Lagrangian, Lyapunov functions, Primal-dual methods} 
    }
    


  6. I. K. Ozaslan and M. R. Jovanovic. Tight lower bounds on the convergence rate of primal-dual dynamics for equality constrained convex problems. In Proceedings of the 62nd IEEE Conference on Decision and Control, Singapore, pages 7312-7317, 2023. Keyword(s): Gradient flow dynamics, Exponential stability, Integral quadratic constraints, Primal-dual gradient flow dynamics, Primal-dual methods.
    @INPROCEEDINGS{ozajovCDC23,
    AUTHOR = {I. K. Ozaslan and M. R. Jovanovi\'c},
    TITLE = {Tight lower bounds on the convergence rate of primal-dual dynamics for equality constrained convex problems},
    BOOKTITLE = {Proceedings of the 62nd IEEE Conference on Decision and Control},
    YEAR = {2023},
    ADDRESS = {Singapore},
    PAGES = {7312-7317},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/ozajovCDC23.pdf},
    KEYWORDS = {Gradient flow dynamics, Exponential stability, Integral quadratic constraints, Primal-dual gradient flow dynamics, Primal-dual methods} 
    }
    


  7. S. Samuelson, H. Mohammadi, and M. R. Jovanovic. Performance of noisy higher-order accelerated gradient flow dynamics for strongly convex quadratic optimization problems. In Proceedings of the 2023 American Control Conference, San Diego, CA, pages 3839-3844, 2023. Keyword(s): Accelerated first-order algorithms, Control for optimization, Convergence rate, Convex optimization, Gradient flow dynamics, Noise amplification, Nonnormal dynamics, Two-step momentum algorithm.
    @INPROCEEDINGS{sammohjovACC23,
    AUTHOR = {S. Samuelson and H. Mohammadi and M. R. Jovanovi\'c},
    TITLE = {Performance of noisy higher-order accelerated gradient flow dynamics for strongly convex quadratic optimization problems},
    BOOKTITLE = {Proceedings of the 2023 American Control Conference},
    YEAR = {2023},
    PAGES = {3839-3844},
    ADDRESS = {San Diego, CA},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/sammohjovACC23.pdf},
    KEYWORDS = {Accelerated first-order algorithms, Control for optimization, Convergence rate, Convex optimization, Gradient flow dynamics, Noise amplification, Nonnormal dynamics, Two-step momentum algorithm} 
    }
    


  8. S. Samuelson, H. Mohammadi, and M. R. Jovanovic. Performance of noisy three-step accelerated first-order optimization algorithms for strongly convex quadratic problems. In Proceedings of the 62nd IEEE Conference on Decision and Control, Singapore, pages 1300-1305, 2023. Keyword(s): Accelerated first-order algorithms, Control for optimization, Convergence rate, Convex optimization, Gradient flow dynamics, Noise amplification, Nonnormal dynamics, Three-step momentum algorithm.
    @INPROCEEDINGS{sammohjovCDC23,
    AUTHOR = {S. Samuelson and H. Mohammadi and M. R. Jovanovi\'c},
    TITLE = {Performance of noisy three-step accelerated first-order optimization algorithms for strongly convex quadratic problems},
    BOOKTITLE = {Proceedings of the 62nd IEEE Conference on Decision and Control},
    YEAR = {2023},
    ADDRESS = {Singapore},
    PAGES = {1300-1305},
    PDF = {https://viterbi-web.usc.edu/~mihailo/papers/sammohjovCDC23.pdf},
    KEYWORDS = {Accelerated first-order algorithms, Control for optimization, Convergence rate, Convex optimization, Gradient flow dynamics, Noise amplification, Nonnormal dynamics, Three-step momentum algorithm} 
    }
    



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Last modified: Tue Jan 23 11:32:51 2024
Author: mihailo.


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