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Publications about 'Exponential convergence'
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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.
[bibtex-entry]
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N. K. Dhingra,
S. Z. Khong,
and M. R. Jovanovic.
The proximal augmented Lagrangian method for nonsmooth composite optimization.
IEEE Trans. Automat. Control,
64(7):2861-2868,
July 2019.
Keyword(s): Augmented Lagrangian,
Control for optimization,
Exponential convergence,
Global exponential stability,
Method of multipliers,
Non-smooth optimization,
Primal-dual gradient flow dynamics,
Proximal algorithms,
Proximal augmented Lagrangian,
Regularization for design,
Sparsity-promoting optimal control,
Structured optimal control,
Structure identification.
[bibtex-entry]
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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,
pages 7579-7584,
2022.
Keyword(s): Gradient flow dynamics,
Lyapunov functions,
Proximal algorithms,
Primal-dual gradient flow dynamics,
Primal-dual methods,
Proximal augmented Lagrangian,
Operator splitting.
[bibtex-entry]
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H. Mohammadi,
A. Zare,
M. Soltanolkotabi,
and M. R. Jovanovic.
Global exponential convergence of gradient methods over the nonconvex landscape of the linear quadratic regulator.
In Proceedings of the 58th IEEE Conference on Decision and Control,
Nice, France,
pages 7474-7479,
2019.
Keyword(s): Data-driven control,
Global exponential stability,
Gradient descent,
Gradient-flow dynamics,
Model-free control,
Nonconvex optimization,
Optimization,
Optimal control,
Reinforcement learning.
[bibtex-entry]
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D. Ding,
B. Hu,
N. K. Dhingra,
and M. R. Jovanovic.
An exponentially convergent primal-dual algorithm for nonsmooth composite minimization.
In Proceedings of the 57th IEEE Conference on Decision and Control,
Miami, FL,
pages 4927-4932,
2018.
Keyword(s): Control for optimization,
Convex optimization,
Euler discretization,
Exponential convergence,
Global exponential stability,
Integral quadratic constraints,
Proximal augmented Lagrangian,
Non-smooth optimization,
Primal-dual gradient flow dynamics,
Proximal algorithms,
Regularization.
[bibtex-entry]
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S. Hassan-Moghaddam and M. R. Jovanovic.
On the exponential convergence rate of proximal gradient flow algorithms.
In Proceedings of the 57th IEEE Conference on Decision and Control,
Miami, FL,
pages 4246-4251,
2018.
Note: (Invited paper).
Keyword(s): Control for optimization,
Distributed optimization,
Forward-backward envelope,
Exponential convergence,
Global exponential stability,
Gradient flow dynamics,
Large-scale systems,
Non-smooth optimization,
Primal-dual method,
Proximal algorithms,
Proximal augmented Lagrangian.
[bibtex-entry]
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Last modified: Tue Jan 23 11:32:51 2024
Author: mihailo.
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