1. I. K. Ozaslan, P. Patrinos, and M. R. Jovanovic. Stability of primal-dual gradient flow dynamics for multi-block convex optimization problems. IEEE Trans. Automat. Control, 2024. Note: Submitted; also arXiv:2408.15969. Keyword(s): Augmented Lagrangian, Exponential convergence, Distributed optimization, Global exponential stability, Gradient flow dynamics, Method of multipliers, Non-smooth optimization, Operator splitting, Primal-dual gradient flow dynamics, Proximal algorithms, Proximal augmented Lagrangian, Regularization for design. [bibtex-entry]



2. I. K. Ozaslan and M. R. Jovanovic. Accelerated forward-backward and Douglas-Rachford splitting dynamics. Automatica, 2023. Note: Submitted; also arXiv:2407.20620. 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. [bibtex-entry]



3. 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. [bibtex-entry]

1. I. K. Ozaslan and M. R. Jovanovic. From exponential to finite/fixed-time stability: applications to optimization. In Proceedings of the 63rd IEEE Conference on Decision and Control, Milano, Italy, 2024. Note: To appear. Keyword(s): Exponential stability, Finite-time stability, Fixed-time stability, Normalized gradient descent, Gradient flow dynamics, Primal-dual methods. [bibtex-entry]



2. E. Yagiz, I. K. Ozaslan, B. Tasdelen, M. R. Jovanovic, Y. Tian, and K. S. Nayak. Dynamic mode decomposition enables low-latency high temporal resolution reconstruction for golden-angle spiral real-time MRI. In Proceedings of the International Society for Magnetic Resonance in Medicine Annual Meeting, Singapore, 2024. Keyword(s): Dynamic mode decomposition, Medical imaging. [bibtex-entry]



3. E. Yagiz, B. Tasdelen, I. K. Ozaslan, M. R. Jovanovic, Y. Tian, and K. S. Nayak. Dynamic mode decomposition cardiac phase estimation for adult and fetal real-time MRI. In Proceedings of the International Society for Magnetic Resonance in Medicine Annual Meeting, Singapore, 2024. Keyword(s): Dynamic mode decomposition, Medical imaging. [bibtex-entry]



4. 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. [bibtex-entry]



5. 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. [bibtex-entry]



6. 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. [bibtex-entry]



7. 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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