activity
20082022
most citedSparsity-promoting dynamic mode decomposition

911 citations · 1.6k across the 19 of their papers we have counts for

collaborators

19 papers

astro-ph.GA2022

Implications of the correlation between bulge-to-total baryonic mass ratio and the number of satellites for SAGA galaxies

A. Vudragović, I. Petraš, M. Jovanović +2

We searched for correlations between the number of satellites and fundamental galactic properties for the Milky Way-like host galaxies in order to better understand their diverse s…

cs.LG2022★ 7 cited

Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence

Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang +1

We examine global non-asymptotic convergence properties of policy gradient methods for multi-agent reinforcement learning (RL) problems in Markov potential games (MPG). To learn a…

math.OC2021★ 20 cited

Can Decentralized Control Outperform Centralized? The Role of Communication Latency

Luca Ballotta, Mihailo R. Jovanović, Luca Schenato

In this paper, we examine the influence of communication latency on performance of networked control systems. Even though distributed control architectures offer advantages in term…

astro-ph.GA2021★ 1 cited

Testing the performance of the Milanković telescope

A. Vudragović, M. Bílek, O. Müller +2

We have undertaken a multi-band imaging campaign of several galaxies to study their low surface brightness features such as shells and streams. Using the 1.4-m Milanković telescope…

math.OC2021

Transient growth of accelerated optimization algorithms

Hesameddin Mohammadi, Samantha Samuelson, Mihailo R. Jovanović

Optimization algorithms are increasingly being used in applications with limited time budgets. In many real-time and embedded scenarios, only a few iterations can be performed and…

eess.SY2021

Optimal Network Topology of Multi-Agent Systems subject to Computation and Communication Latency (with proofs)

Luca Ballotta, Mihailo R. Jovanović, Luca Schenato

We study minimum-variance feedback-control design for a networked control system with retarded dynamics, where inter-agent communication is subject to latency. We prove that such a…

physics.flu-dyn2020★ 5 cited

Well-conditioned ultraspherical and spectral integration methods for resolvent analysis of channel flows of Newtonian and viscoelastic fluids

Gokul Hariharan, Satish Kumar, Mihailo R. Jovanović

Modal and nonmodal analyses of fluid flows provide fundamental insight into the early stages of transition to turbulence. Eigenvalues of the dynamical generator govern temporal gro…

physics.flu-dyn2020★ 122 cited

From bypass transition to flow control and data-driven turbulence modeling: An input-output viewpoint

Mihailo R. Jovanović

Transient growth and resolvent analyses are routinely used to assess non-asymptotic properties of fluid flows. In particular, resolvent analysis can be interpreted as a special cas…

cs.LG2020★ 35 cited

Provably Efficient Safe Exploration via Primal-Dual Policy Optimization

Dongsheng Ding, Xiaohan Wei, Zhuoran Yang +2

We study the Safe Reinforcement Learning (SRL) problem using the Constrained Markov Decision Process (CMDP) formulation in which an agent aims to maximize the expected total reward…

math.OC2019★ 6 cited

Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem

Hesameddin Mohammadi, Armin Zare, Mahdi Soltanolkotabi +1

Model-free reinforcement learning attempts to find an optimal control action for an unknown dynamical system by directly searching over the parameter space of controllers. The conv…

physics.flu-dyn2019

Modal stability analysis of viscoelastic channel and pipe flows using a well-conditioned spectral method

Gokul Hariharan, Mihailo R. Jovanović, Satish Kumar

Modal stability analysis provides information about the long-time growth or decay of small-amplitude perturbations around a steady-state solution of a dynamical system. In fluid fl…

physics.flu-dyn2017★ 85 cited

Simulation and stability analysis of oblique shock wave/boundary layer interactions at Mach 5.92

Nathaniel Hildebrand, Anubhav Dwivedi, Joseph W. Nichols +2

We investigate flow instability created by an oblique shock wave impinging on a Mach 5.92 laminar boundary layer at a transitional Reynolds number. The adverse pressure gradient of…

physics.flu-dyn2017★ 10 cited

Amplification of localized body forces in channel flows of viscoelastic fluids

Gokul Hariharan, Mihailo R. Jovanović, Satish Kumar

The study of nonmodal amplification of distributed body forces in channel flows of viscoelastic fluids has provided useful insights into the mechanisms that may govern the initial…

physics.flu-dyn2014★ 71 cited

Self-sustaining turbulence in a restricted nonlinear model of plane Couette flow

Vaughan L. Thomas, Binh K. Lieu, Mihailo R. Jovanović +3

This paper demonstrates the maintenance of self-sustaining turbulence in a restricted nonlinear (RNL) model of plane Couette flow. The RNL system is derived directly from the Navie…

physics.flu-dyn2013★ 911 cited

Sparsity-promoting dynamic mode decomposition

Mihailo R. Jovanović, Peter J. Schmid, Joseph W. Nichols

Dynamic mode decomposition (DMD) represents an effective means for capturing the essential features of numerically or experimentally generated flow fields. In order to achieve a de…

physics.flu-dyn2012★ 119 cited

Model-based design of transverse wall oscillations for turbulent drag reduction

Rashad Moarref, Mihailo R. Jovanović

Over the last two decades, both experiments and simulations have demonstrated that transverse wall oscillations with properly selected amplitude and frequency can reduce turbulent…

physics.flu-dyn2010★ 59 cited

Controlling the onset of turbulence by streamwise traveling waves. Part 2. Direct numerical simulations

Binh K. Lieu, Rashad Moarref, Mihailo R. Jovanović

This work builds on and confirms the theoretical findings of Part 1 of this paper, Moarref & Jovanović (2010). We use direct numerical simulations of the Navier-Stokes equations to…

physics.flu-dyn2010★ 77 cited

Controlling the onset of turbulence by streamwise traveling waves. Part 1: Receptivity analysis

Rashad Moarref, Mihailo R. Jovanović

We examine the efficacy of streamwise traveling waves generated by a zero-net-mass-flux surface blowing and suction for controlling the onset of turbulence in a channel flow. For s…

physics.flu-dyn2008★ 63 cited

Nonmodal amplification of stochastic disturbances in strongly elastic channel flows

Mihailo R. Jovanović, Satish Kumar

Nonmodal amplification of stochastic disturbances in elasticity-dominated channel flows of Oldroyd-B fluids is analyzed in this work. For streamwise-constant flows with high elasti…