
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):16291640,
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 = {16291640},
MONTH = {September},
year={2023},
PDF = {https://viterbiweb.usc.edu/~mihailo/papers/baljovschTCNS23.pdf},
KEYWORDS = {Controller architecture, Fundamental limitations, Networks, Networks of dynamical systems, Noise amplification, Performance bounds, Topology design}
}

H. Mohammadi,
S. Samuelson,
and M. R. Jovanovic.
Transient growth of accelerated optimization algorithms.
IEEE Trans. Automat. Control,
68(3):18231830,
March 2023.
Keyword(s): Accelerated firstorder algorithms,
Control for optimization,
Convex optimization,
Gradient descent,
Heavyball 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 = {18231830},
MONTH = {March},
YEAR = {2023},
PDF = {https://viterbiweb.usc.edu/~mihailo/papers/mohsamjovTAC23.pdf},
KEYWORDS = {Accelerated firstorder algorithms, Control for optimization, Convex optimization, Gradient descent, Heavyball method, Integral quadratic constraints, Nesterov's accelerated method, Nonnormal dynamics, Transient growth}
}

I. K. Ozaslan and M. R. Jovanovic.
Accelerated forwardbackward and DouglasRachford splitting dynamics.
Automatica,
2023.
Note: Submitted.
Keyword(s): Accelerated firstorder algorithms,
Control for optimization,
Convex Optimization,
Forwardbackward envelope,
DouglasRachford splitting,
Global exponential stability,
Integral quadratic constraints,
Nesterov's accelerated method,
Nonsmooth optimization,
Proximal algorithms.
@ARTICLE{ozajovAUT23,
AUTHOR = {I. K. Ozaslan and M. R. Jovanovi\'c},
TITLE = {Accelerated forwardbackward and {D}ouglas{R}achford splitting dynamics},
JOURNAL = {Automatica},
YEAR = {2023},
NOTE = {submitted},
KEYWORDS = {Accelerated firstorder algorithms, Control for optimization, Convex Optimization, Forwardbackward envelope, DouglasRachford splitting, Global exponential stability, Integral quadratic constraints, Nesterov's accelerated method, Nonsmooth optimization, Proximal algorithms}
}

I. K. Ozaslan,
H. Mohammadi,
and M. R. Jovanovic.
Computing stabilizing feedback gains via a modelfree policy gradient method.
IEEE Control Syst. Lett.,
7:407412,
July 2023.
Keyword(s): Datadriven control,
Gradient descent,
Linear quadratic regulator,
Modelfree 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 modelfree policy gradient method},
JOURNAL = {IEEE Control Syst. Lett.},
VOLUME = {7},
PAGES = {407412},
MONTH = {July},
YEAR = {2023},
PDF = {https://viterbiweb.usc.edu/~mihailo/papers/ozamohjovLCSS23.pdf},
KEYWORDS = {Datadriven control, Gradient descent, Linear quadratic regulator, Modelfree control, Nonconvex optimization, Optimization, Optimal control, Random search method, Reinforcement learning, Sample complexity}
}

D. Ding,
X. Wei,
Z. Yang,
Z. Wang,
and M. R. Jovanovic.
Provably efficient generalized Lagrangian policy optimization for safe multiagent 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 315332,
2023.
Keyword(s): Constrained Markov games,
Method of Lagrange multipliers,
Minimax optimization,
Multiagent reinforcement learning,
Primaldual 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 multiagent 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 = {315332},
ADDRESS = {Philadelphia, PA},
PDF = {https://viterbiweb.usc.edu/~mihailo/papers/dinweiyanwanjovL4DC23.pdf},
KEYWORDS = {Constrained Markov games, Method of Lagrange multipliers, Minimax optimization, Multiagent reinforcement learning, Primaldual policy optimization}
}

A. Dwivedi and M. R. Jovanovic.
Energy amplification of stochasticallyforced hypersonic blunt body flows.
In Proceedings of the 2023 American Control Conference,
San Diego, CA,
pages 15961601,
2023.
Keyword(s): Compressible flows,
Inputoutput analysis,
Energy amplification,
Flow modeling and control,
Highspeed compressible boundary layers,
Hypersonic flows,
Transition to turbulence.
@INPROCEEDINGS{dwijovACC23,
AUTHOR = {A. Dwivedi and M. R. Jovanovi\'c},
TITLE = {Energy amplification of stochasticallyforced hypersonic blunt body flows},
BOOKTITLE = {Proceedings of the 2023 American Control Conference},
YEAR = {2023},
PAGES = {15961601},
ADDRESS = {San Diego, CA},
PDF = {https://viterbiweb.usc.edu/~mihailo/papers/dwijovACC23.pdf},
KEYWORDS = {Compressible flows, Inputoutput analysis, Energy amplification, Flow modeling and control, Highspeed compressible boundary layers, Hypersonic flows, Transition to turbulence}
}

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,
Inputoutput analysis,
Energy amplification,
Flow modeling and control,
Highspeed 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://viterbiweb.usc.edu/~mihailo/papers/dwijovAIAA23.pdf},
KEYWORDS = {Compressible flows, Inputoutput analysis, Energy amplification, Flow modeling and control, Highspeed compressible boundary layers, Hypersonic flows, Transition to turbulence}
}

H. Mohammadi,
M. Razaviyayn,
and M. R. Jovanovic.
Noise amplification of momentumbased optimization algorithms.
In Proceedings of the 2023 American Control Conference,
San Diego, CA,
pages 849854,
2023.
Keyword(s): Accelerated firstorder algorithms,
Control for optimization,
Convergence rate,
Convex optimization,
Gradient descent,
Heavyball method,
Nesterov's accelerated method,
Noise amplification,
Nonnormal dynamics,
Twostep momentum algorithm.
@INPROCEEDINGS{mohrazjovACC23,
AUTHOR = {H. Mohammadi and M. Razaviyayn and M. R. Jovanovi\'c},
TITLE = {Noise amplification of momentumbased optimization algorithms},
BOOKTITLE = {Proceedings of the 2023 American Control Conference},
YEAR = {2023},
PAGES = {849854},
ADDRESS = {San Diego, CA},
PDF = {https://viterbiweb.usc.edu/~mihailo/papers/mohrazjovACC23.pdf},
KEYWORDS = {Accelerated firstorder algorithms, Control for optimization, Convergence rate, Convex optimization, Gradient descent, Heavyball method, Nesterov's accelerated method, Noise amplification, Nonnormal dynamics, Twostep momentum algorithm}
}

I. K. Ozaslan and M. R. Jovanovic.
On the global exponential stability of primaldual dynamics for convex problems with linear equality constraints.
In Proceedings of the 2023 American Control Conference,
San Diago, CA,
pages 210215,
2023.
Keyword(s): Global exponential stability,
Gradient flow dynamics,
Lagrangian,
Lyapunov functions,
Primaldual methods.
@INPROCEEDINGS{ozajovACC23,
AUTHOR = {I. K. Ozaslan and M. R. Jovanovi\'c},
TITLE = {On the global exponential stability of primaldual dynamics for convex problems with linear equality constraints},
BOOKTITLE = {Proceedings of the 2023 American Control Conference},
YEAR = {2023},
PAGES = {210215},
ADDRESS = {San Diago, CA},
PDF = {https://viterbiweb.usc.edu/~mihailo/papers/ozajovACC23.pdf},
KEYWORDS = {Global exponential stability, Gradient flow dynamics, Lagrangian, Lyapunov functions, Primaldual methods}
}

I. K. Ozaslan and M. R. Jovanovic.
Tight lower bounds on the convergence rate of primaldual dynamics for equality constrained convex problems.
In Proceedings of the 62nd IEEE Conference on Decision and Control,
Singapore,
pages 73127317,
2023.
Keyword(s): Gradient flow dynamics,
Exponential stability,
Integral quadratic constraints,
Primaldual gradient flow dynamics,
Primaldual methods.
@INPROCEEDINGS{ozajovCDC23,
AUTHOR = {I. K. Ozaslan and M. R. Jovanovi\'c},
TITLE = {Tight lower bounds on the convergence rate of primaldual dynamics for equality constrained convex problems},
BOOKTITLE = {Proceedings of the 62nd IEEE Conference on Decision and Control},
YEAR = {2023},
ADDRESS = {Singapore},
PAGES = {73127317},
PDF = {https://viterbiweb.usc.edu/~mihailo/papers/ozajovCDC23.pdf},
KEYWORDS = {Gradient flow dynamics, Exponential stability, Integral quadratic constraints, Primaldual gradient flow dynamics, Primaldual methods}
}

S. Samuelson,
H. Mohammadi,
and M. R. Jovanovic.
Performance of noisy higherorder accelerated gradient flow dynamics for strongly convex quadratic optimization problems.
In Proceedings of the 2023 American Control Conference,
San Diego, CA,
pages 38393844,
2023.
Keyword(s): Accelerated firstorder algorithms,
Control for optimization,
Convergence rate,
Convex optimization,
Gradient flow dynamics,
Noise amplification,
Nonnormal dynamics,
Twostep momentum algorithm.
@INPROCEEDINGS{sammohjovACC23,
AUTHOR = {S. Samuelson and H. Mohammadi and M. R. Jovanovi\'c},
TITLE = {Performance of noisy higherorder accelerated gradient flow dynamics for strongly convex quadratic optimization problems},
BOOKTITLE = {Proceedings of the 2023 American Control Conference},
YEAR = {2023},
PAGES = {38393844},
ADDRESS = {San Diego, CA},
PDF = {https://viterbiweb.usc.edu/~mihailo/papers/sammohjovACC23.pdf},
KEYWORDS = {Accelerated firstorder algorithms, Control for optimization, Convergence rate, Convex optimization, Gradient flow dynamics, Noise amplification, Nonnormal dynamics, Twostep momentum algorithm}
}

S. Samuelson,
H. Mohammadi,
and M. R. Jovanovic.
Performance of noisy threestep accelerated firstorder optimization algorithms for strongly convex quadratic problems.
In Proceedings of the 62nd IEEE Conference on Decision and Control,
Singapore,
pages 13001305,
2023.
Keyword(s): Accelerated firstorder algorithms,
Control for optimization,
Convergence rate,
Convex optimization,
Gradient flow dynamics,
Noise amplification,
Nonnormal dynamics,
Threestep momentum algorithm.
@INPROCEEDINGS{sammohjovCDC23,
AUTHOR = {S. Samuelson and H. Mohammadi and M. R. Jovanovi\'c},
TITLE = {Performance of noisy threestep accelerated firstorder optimization algorithms for strongly convex quadratic problems},
BOOKTITLE = {Proceedings of the 62nd IEEE Conference on Decision and Control},
YEAR = {2023},
ADDRESS = {Singapore},
PAGES = {13001305},
PDF = {https://viterbiweb.usc.edu/~mihailo/papers/sammohjovCDC23.pdf},
KEYWORDS = {Accelerated firstorder algorithms, Control for optimization, Convergence rate, Convex optimization, Gradient flow dynamics, Noise amplification, Nonnormal dynamics, Threestep momentum algorithm}
}