Mihailo R. Jovanovic

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 105

Top Venues

ACC

CDC

CoRR

IEEE Trans. Autom. Control.

Publications

Ibrahim Kurban Özaslan, Mihailo R. Jovanovic
Accelerated forward-backward and Douglas-Rachford splitting dynamics. CoRR (2024)
Luca Ballotta, Juncal Arbelaiz, Vijay Gupta, Luca Schenato, Mihailo R. Jovanovic
Control of Reaction-Diffusion Processes Under Communication Delays. ECC (2024)
Anubhav Dwivedi, Mihailo R. Jovanovic
Energy amplification of stochastically-forced hypersonic blunt body flows. ACC (2023)
Hesameddin Mohammadi, Samantha Samuelson, Mihailo R. Jovanovic
Transient Growth of Accelerated Optimization Algorithms. IEEE Trans. Autom. Control. 68 (3) (2023)
Ibrahim Kurban Özaslan, Mihailo R. Jovanovic
On the global exponential stability of primal-dual dynamics for convex problems with linear equality constraints. ACC (2023)
Hesameddin Mohammadi, Meisam Razaviyayn, Mihailo R. Jovanovic
Noise amplifiation of momentum-based optimization algorithms. ACC (2023)
Luca Ballotta, Mihailo R. Jovanovic, Luca Schenato
Can Decentralized Control Outperform Centralized? The Role of Communication Latency. IEEE Trans. Control. Netw. Syst. 10 (3) (2023)
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning. L4DC (2023)
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning. CoRR (2023)
Samantha Samuelson, Hesameddin Mohammadi, Mihailo R. Jovanovic
Performance of Noisy Three-Step Accelerated First-Order Optimization Algorithms for Strongly Convex Quadratic Problems. CDC (2023)
Ibrahim Kurban Özaslan, Hesameddin Mohammadi, Mihailo R. Jovanovic
Computing Stabilizing Feedback Gains via a Model-Free Policy Gradient Method. IEEE Control. Syst. Lett. 7 (2023)
Samantha Samuelson, Hesameddin Mohammadi, Mihailo R. Jovanovic
Performance of noisy higher-order accelerated gradient flow dynamics for strongly convex quadratic optimization problems. ACC (2023)
Ibrahim Kurban Özaslan, Mihailo R. Jovanovic
Tight Lower Bounds on the Convergence Rate of Primal-Dual Dynamics for Equality Constrained Convex Problems. CDC (2023)
Ibrahim Kurban Özaslan, Sepideh Hassan-Moghaddam, Mihailo R. Jovanovic
On the asymptotic stability of proximal algorithms for convex optimization problems with multiple non-smooth regularizers. ACC (2022)
Dongsheng Ding, Mihailo R. Jovanovic
Policy gradient primal-dual mirror descent for constrained MDPs with large state spaces. CDC (2022)
Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Mihailo R. Jovanovic
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence. CoRR (2022)
Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Mihailo R. Jovanovic
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence. ICML (2022)
Hesameddin Mohammadi, Meisam Razaviyayn, Mihailo R. Jovanovic
Tradeoffs between convergence rate and noise amplification for momentum-based accelerated optimization algorithms. CoRR (2022)
Hesameddin Mohammadi, Mihailo R. Jovanovic
On the noise amplification of primal-dual gradient flow dynamics based on proximal augmented Lagrangian. ACC (2022)
Dongsheng Ding, Kaiqing Zhang, Tamer Basar, Mihailo R. Jovanovic
Convergence and optimality of policy gradient primal-dual method for constrained Markov decision processes. ACC (2022)
Ibrahim Kurban Ozaslan, Mihailo R. Jovanovic
Exponential convergence of primal-dual dynamics for multi-block problems under local error bound condition. CDC (2022)
Dongsheng Ding, Kaiqing Zhang, Jiali Duan, Tamer Basar, Mihailo R. Jovanovic
Convergence and sample complexity of natural policy gradient primal-dual methods for constrained MDPs. CoRR (2022)
Anubhav Dwivedi, Mihailo R. Jovanovic
A weakly nonlinear analysis of transition in a hypersonic flow. ACC (2022)
Hesameddin Mohammadi, Armin Zare, Mahdi Soltanolkotabi, Mihailo R. Jovanovic
Convergence and Sample Complexity of Gradient Methods for the Model-Free Linear-Quadratic Regulator Problem. IEEE Trans. Autom. Control. 67 (5) (2022)
Neil K. Dhingra, Sei Zhen Khong, Mihailo R. Jovanovic
A Second Order Primal-Dual Method for Nonsmooth Convex Composite Optimization. IEEE Trans. Autom. Control. 67 (8) (2022)
Luca Ballotta, Mihailo R. Jovanovic, Luca Schenato
Optimal Network Topology of Multi-Agent Systems subject to Computation and Communication Latency. MED (2021)
Dongsheng Ding, Xiaohan Wei, Hao Yu, Mihailo R. Jovanovic
Byzantine-resilient distributed learning under constraints. ACC (2021)
Hesameddin Mohammadi, Meisam Razaviyayn, Mihailo R. Jovanovic
Robustness of Accelerated First-Order Algorithms for Strongly Convex Optimization Problems. IEEE Trans. Autom. Control. 66 (6) (2021)
Dongsheng Ding, Jianjun Yuan, Mihailo R. Jovanovic
Discounted online Newton method for time-varying time series prediction. ACC (2021)
Sepideh Hassan-Moghaddam, Mihailo R. Jovanovic
Proximal gradient flow and Douglas-Rachford splitting dynamics: Global exponential stability via integral quadratic constraints. Autom. 123 (2021)
Gokul Hariharan, Satish Kumar, Mihailo R. Jovanovic
Well-conditioned ultraspherical and spectral integration methods for resolvent analysis of channel flows of Newtonian and viscoelastic fluids. J. Comput. Phys. 439 (2021)
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization. AISTATS (2021)
Luca Ballotta, Mihailo R. Jovanovic, Luca Schenato
Can Decentralized Control Outperform Centralized? The Role of Communication Latency. CoRR (2021)
Hesameddin Mohammadi, Samantha Samuelson, Mihailo R. Jovanovic
Transient growth of accelerated first-order methods for strongly convex optimization problems. CoRR (2021)
Hesameddin Mohammadi, Mahdi Soltanolkotabi, Mihailo R. Jovanovic
On the Linear Convergence of Random Search for Discrete-Time LQR. IEEE Control. Syst. Lett. 5 (3) (2021)
Luca Ballotta, Mihailo R. Jovanovic, Luca Schenato
Optimal Network Topology of Multi-Agent Systems subject to Computation and Communication Latency. CoRR (2021)
Hesameddin Mohammadi, Mahdi Soltanolkotabi, Mihailo R. Jovanovic
On the lack of gradient domination for linear quadratic Gaussian problems with incomplete state information. CDC (2021)
Samantha Samuelson, Hesameddin Mohammadi, Mihailo R. Jovanovic
On the transient growth of Nesterov's accelerated method for strongly convex optimization problems. CDC (2020)
Anubhav Dwivedi, Graham V. Candler, Mihailo R. Jovanovic
A frequency domain analysis of compressible linearized Navier-Stokes equations in a hypersonic compression ramp flow. ACC (2020)
Gokul Hariharan, Satish Kumar, Mihailo R. Jovanovic
Well-conditioned ultraspherical and spectral integration methods for resolvent analysis of channel flows of Newtonian and viscoelastic fluids. CoRR (2020)
Dongsheng Ding, Kaiqing Zhang, Tamer Basar, Mihailo R. Jovanovic
Natural Policy Gradient Primal-Dual Method for Constrained Markov Decision Processes. NeurIPS (2020)
Armin Zare, Tryphon T. Georgiou, Mihailo R. Jovanovic
Stochastic Dynamical Modeling of Turbulent Flows. Annu. Rev. Control. Robotics Auton. Syst. 3 (2020)
Hesameddin Mohammadi, Mihailo R. Jovanovic, Mahdi Soltanolkotabi
Learning the model-free linear quadratic regulator via random search. L4DC (2020)
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization. CoRR (2020)
Mihailo R. Jovanovic
From bypass transition to flow control and data-driven turbulence modeling: An input-output viewpoint. CoRR (2020)
Dongsheng Ding, Mihailo R. Jovanovic
Global exponential stability of primal-dual gradient flow dynamics based on the proximal augmented Lagrangian: A Lyapunov-based approach. CDC (2020)
Hesameddin Mohammadi, Mahdi Soltanolkotabi, Mihailo R. Jovanovic
Random search for learning the linear quadratic regulator. ACC (2020)
Samantha Samuelson, Hesameddin Mohammadi, Mihailo R. Jovanovic
Transient growth of accelerated first-order methods. ACC (2020)
Armin Zare, Hesameddin Mohammadi, Neil K. Dhingra, Tryphon T. Georgiou, Mihailo R. Jovanovic
Proximal Algorithms for Large-Scale Statistical Modeling and Sensor/Actuator Selection. IEEE Trans. Autom. Control. 65 (8) (2020)
Sepideh Hassan-Moghaddam, Mihailo R. Jovanovic
Proximal gradient flow and Douglas-Rachford splitting dynamics: global exponential stability via integral quadratic constraints. CoRR (2019)
Sepideh Hassan-Moghaddam, Mihailo R. Jovanovic, Sean P. Meyn
Data-driven proximal algorithms for the design of structured optimal feedback gains. ACC (2019)
Michael Chertkov, Mihailo R. Jovanovic, Bernard C. Lesieutre, Steven H. Low, Pascal Van Hentenryck, Louis Wehenkel
Guest Editorial Special Issue on Analysis, Control, and Optimization of Energy Networks. IEEE Trans. Control. Netw. Syst. 6 (3) (2019)
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization. CoRR (2019)
Hesameddin Mohammadi, Armin Zare, Mahdi Soltanolkotabi, Mihailo R. Jovanovic
Global exponential convergence of gradient methods over the nonconvex landscape of the linear quadratic regulator. CDC (2019)
Hesameddin Mohammadi, Meisam Razaviyayn, Mihailo R. Jovanovic
Performance of noisy Nesterov's accelerated method for strongly convex optimization problems. ACC (2019)
Wei Ran, Armin Zare, M. J. Philipp Hack, Mihailo R. Jovanovic
Relating global and local stochastic receptivity analysis of boundary layer flows. ACC (2019)
Neil K. Dhingra, Marcello Colombino, Mihailo R. Jovanovic
Structured Decentralized Control of Positive Systems With Applications to Combination Drug Therapy and Leader Selection in Directed Networks. IEEE Trans. Control. Netw. Syst. 6 (1) (2019)
Hesameddin Mohammadi, Armin Zare, Mahdi Soltanolkotabi, Mihailo R. Jovanovic
Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem. CoRR (2019)
Neil K. Dhingra, Sei Zhen Khong, Mihailo R. Jovanovic
The Proximal Augmented Lagrangian Method for Nonsmooth Composite Optimization. IEEE Trans. Autom. Control. 64 (7) (2019)
Dongsheng Ding, Mihailo R. Jovanovic
Global exponential stability of primal-dual gradient flow dynamics based on the proximal augmented Lagrangian. ACC (2019)
Dongsheng Ding, Mihailo R. Jovanovic
Global exponential stability of primal-dual gradient flow dynamics based on the proximal augmented Lagrangian: A Lyapunov-based approach. CoRR (2019)
Wei Ran, Armin Zare, Mihailo R. Jovanovic
Drag reduction in turbulent channel flow over spatially periodic surfaces. CDC (2019)
Hesameddin Mohammadi, Meisam Razaviyayn, Mihailo R. Jovanovic
Robustness of accelerated first-order algorithms for strongly convex optimization problems. CoRR (2019)
Armin Zare, Tryphon T. Georgiou, Mihailo R. Jovanovic
Stochastic dynamical modeling of turbulent flows. CoRR (2019)
Dongsheng Ding, Xiaohan Wei, Mihailo R. Jovanovic
Distributed robust statistical learning: Byzantine mirror descent. CDC (2019)
Hesameddin Mohammadi, Meisam Razaviyayn, Mihailo R. Jovanovic
Variance Amplification of Accelerated First-Order Algorithms for Strongly Convex Quadratic Optimization Problems. CDC (2018)
Gokul Hariharan, Mihailo R. Jovanovic, Satish Kumar
Spatio-temporal impulse responses in channel flow of viscoelastic fluids. ACC (2018)
Sepideh Hassan-Moghaddam, Mihailo R. Jovanovic
On the Exponential Convergence Rate of Proximal Gradient Flow Algorithms. CDC (2018)
Armin Zare, Neil K. Dhingra, Mihailo R. Jovanovic, Tryphon T. Georgiou
Proximal algorithms for large-scale statistical modeling and optimal sensor/actuator selection. CoRR (2018)
Dongsheng Ding, Mihailo R. Jovanovic
A primal-dual laplacian gradient flow dynamics for distributed resource allocation problems. ACC (2018)
Armin Zare, Mihailo R. Jovanovic
Optimal Sensor Selection via Proximal Optimization Algorithms. CDC (2018)
Sepideh Hassan-Moghaddam, Mihailo R. Jovanovic
Topology Identification via Growing a Chow-Liu Tree Network. CDC (2018)
Sepideh Hassan-Moghaddam, Mihailo R. Jovanovic
Topology Design for Stochastically Forced Consensus Networks. IEEE Trans. Control. Netw. Syst. 5 (3) (2018)
Wei Ran, Armin Zare, M. J. Philipp Hack, Mihailo R. Jovanovic
Low-complexity modeling of mode interactions in boundary layer flows. ACC (2018)
Hesameddin Mohammadi, Meisam Razaviyayn, Mihailo R. Jovanovic
On the stability of gradient flow dynamics for a rank-one matrix approximation problem. ACC (2018)
Sepideh Hassan-Moghaddam, Mihailo R. Jovanovic
Distributed proximal augmented Lagrangian method for nonsmooth composite optimization. ACC (2018)
Dongsheng Ding, Bin Hu, Neil K. Dhingra, Mihailo R. Jovanovic
An Exponentially Convergent Primal-Dual Algorithm for Nonsmooth Composite Minimization. CDC (2018)
Deepjyoti Deka, Armin Zare, Andrey Y. Lokhov, Mihailo R. Jovanovic, Michael Chertkov
State and noise covariance estimation in power grids using limited nodal PMUs. GlobalSIP (2017)
Neil K. Dhingra, Marcello Colombino, Mihailo R. Jovanovic
Structured decentralized control of positive systems with applications to combination drug therapy and leader selection in directed networks. CoRR (2017)
Armin Zare, Neil K. Dhingra, Mihailo R. Jovanovic, Tryphon T. Georgiou
Structured covariance completion via proximal algorithms. CDC (2017)
Armin Zare, Yongxin Chen, Mihailo R. Jovanovic, Tryphon T. Georgiou
Low-Complexity Modeling of Partially Available Second-Order Statistics: Theory and an Efficient Matrix Completion Algorithm. IEEE Trans. Autom. Control. 62 (3) (2017)
Neil K. Dhingra, Sei Zhen Khong, Mihailo R. Jovanovic
A second order primal-dual method for nonsmooth convex composite optimization. CoRR (2017)
Xiaofan Wu, Mihailo R. Jovanovic
Sparsity-promoting optimal control of systems with symmetries, consensus and synchronization networks. Syst. Control. Lett. 103 (2017)
Neil K. Dhingra, Sei Zhen Khong, Mihailo R. Jovanovic
A second order primal-dual algorithm for nonsmooth convex composite optimization. CDC (2017)
Wei Ran, Armin Zare, M. J. Philipp Hack, Mihailo R. Jovanovic
Low-complexity stochastic modeling of spatially-evolving flows. ACC (2017)
Sepideh Hassan-Moghaddam, Mihailo R. Jovanovic
Distributed design of optimal structured feedback gains. CDC (2017)
Sepideh Hassan-Moghaddam, Xiaofan Wu, Mihailo R. Jovanovic
Edge addition in directed consensus networks. ACC (2017)
Christian Grussler, Armin Zare, Mihailo R. Jovanovic, Anders Rantzer
The use of the r* heuristic in covariance completion problems. CDC (2016)
Mihailo R. Jovanovic, Neil K. Dhingra
Controller architectures: Tradeoffs between performance and structure. Eur. J. Control 30 (2016)
Neil K. Dhingra, Marcello Colombino, Mihailo R. Jovanovic
Leader selection in directed networks. CDC (2016)
Armin Zare, Mihailo R. Jovanovic, Tryphon T. Georgiou
Perturbation of system dynamics and the covariance completion problem. CDC (2016)
Xiaofan Wu, Florian Dörfler, Mihailo R. Jovanovic
Topology identification and design of distributed integral action in power networks. ACC (2016)
Marcello Colombino, Neil K. Dhingra, Mihailo R. Jovanovic, Roy S. Smith
Convex reformulation of a robust optimal control problem for a class of positive systems. CDC (2016)
Neil K. Dhingra, Marcello Colombino, Mihailo R. Jovanovic
On the convexity of a class of structured optimal control problems for positive systems. ECC (2016)
Neil K. Dhingra, Marcello Colombino, Mihailo R. Jovanovic, Anders Rantzer, Roy S. Smith
On the optimal control problem for a class of monotone bilinear systems. CoRR (2016)
Neil K. Dhingra, Mihailo R. Jovanovic
A method of multipliers algorithm for sparsity-promoting optimal control. ACC (2016)
Jennifer Annoni, Peter J. Seiler, Mihailo R. Jovanovic
Sparsity-promoting dynamic mode decomposition for systems with inputs. CDC (2016)
Neil K. Dhingra, Mihailo R. Jovanovic
The proximal augmented Lagrangian method for nonsmooth composite optimization. CoRR (2016)
Sepideh Hassan-Moghaddam, Neil K. Dhingra, Mihailo R. Jovanovic
Topology identification of undirected consensus networks via sparse inverse covariance estimation. CDC (2016)
Armin Zare, Mihailo R. Jovanovic, Tryphon T. Georgiou
Alternating direction optimization algorithms for covariance completion problems. ACC (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mihailo R. Jovanovic