Mihailo R. Jovanovic

Viterbi School of Engineering, University of Southern California

Professor
Ming Hsieh Department of Electrical and Computer Engineering
Department of Aerospace and Mechanical Engineering (by courtesy)

Founding Director
Center for Systems and Control (CSC@USC)

Contact

Mail:	Ming Hsieh Department of Electrical and Computer Engineering				Office: EEB, Room 344
	University of Southern California				Phone: +1-213-740-4474
	3740 McClintock Avenue, EEB 300				E-mail: mihailo@usc.edu
	Los Angeles, CA 90089-2563, USA				URL: viterbi-web.usc.edu/~mihailo/

Talks

	NSF panel on reinforcement learning and control synergies: Models, data, and policies (video)
	Robustness of gradient methods for data-driven decision making (slides)
	Convergence and sample complexity of gradient methods for the model-free LQR problem (video)
	Learning the model-free LQR via random search (video)
	Controller architectures: Tradeoffs between performance and structure (slides)
	Oblique transition in high-speed separated boundary layers (video)
	Modeling, dynamics, and control of transitional and turbulent fluid flows (slides)

Review Articles

	From bypass transition to flow control and data-driven turbulence modeling: An input-output viewpoint
	Stochastic dynamical modeling of turbulent flows
	Controller architectures: tradeoffs between performance and structure
	Understanding viscoelastic flow instabilities: Oldroyd-B and beyond

Papers/Preprints

Performance tradeoffs in accelerated optimization algorithms

	Tradeoffs between convergence rate and noise amplification for momentum-based accelerated optimization algorithms
	Robustness of accelerated first-order algorithms for strongly convex optimization problems
	Transient growth of accelerated optimization algorithms

Data-driven optimal control

	Convergence and sample complexity of gradient methods for the model-free LQR problem
	Computing stabilizing feedback gains via a model-free policy gradient method
	On the linear convergence of random search for discrete-time LQR

	Natural policy gradient primal-dual method for constrained Markov decision processes
	Provably efficient safe exploration via primal-dual policy optimization
	Independent policy gradient for large-scale Markov potential games: Sharper rates, function approximation, and game-agnostic convergence

Control for optimization

	Tannenbaum's gain-margin optimization meets Polyak's heavy-ball algorithm
	Stability of primal-dual gradient flow dynamics for multi-block convex optimization problems
	Accelerated forward-backward and Douglas-Rachford splitting dynamics
	Proximal gradient flow and Douglas-Rachford splitting dynamics: global exponential stability via IQCs
	A second order primal-dual method for nonsmooth convex composite optimization
	The proximal augmented Lagrangian method for nonsmooth composite optimization

Data-driven modeling

	Colour of turbulence
	Sparsity-promoting dynamic mode decomposition
	Proximal algorithms for large-scale statistical modeling and sensor/actuator selection
	Low-complexity modeling of partially available second-order statistics: theory and an efficient matrix completion algorithm
	A low-order decomposition of turbulent channel flow via resolvent analysis and convex optimization

Transition in hypersonic flows

	Oblique transition in hypersonic double-wedge flow
	Reattachment vortices in hypersonic compression ramp flow: an input-output analysis
	Simulation and stability analysis of oblique shock wave/boundary-layer interactions at Mach 5.92
	Transient growth analysis of oblique shock wave/boundary-layer interactions at Mach 5.92

Model-based flow control

	Model-based design of riblets for turbulent drag reduction
	Model-based design of transverse wall oscillations for turbulent drag reduction
	Controlling the onset of turbulence by streamwise traveling waves. Part 1: Receptivity analysis
	Controlling the onset of turbulence by streamwise traveling waves. Part 2: Direct numerical simulations
	Turbulence suppression in channel flows by small amplitude transverse wall oscillations

Triggering mechanisms for transition to turbulence

	Componentwise energy amplification in channel flows
	Input-output analysis of high-speed axisymmetric isothermal jet noise
	Self-sustaining turbulence in a restricted nonlinear model of plane Couette flow
	Energy amplification in channel flows of viscoelastic fluids
	Transient growth without inertia
	Nonmodal amplification of stochastic disturbances in strongly elastic channel flows
	Worst-case amplification of disturbances in inertialess Couette flow of viscoelastic fluids

Performance limitations in networks of dynamical systems

	Coherence in large-scale networks: dimension dependent limitations of local feedback
	On the ill-posedness of certain vehicular platoon control problems
	Optimal control of vehicular formations with nearest neighbor interactions

Sparsity-promoting optimal control

	Design of optimal sparse feedback gains via the alternating direction method of multipliers
	Sparsity-promoting optimal control for a class of distributed systems
	Augmented Lagrangian approach to design of structured optimal state feedback gains
	Structured decentralized control of positive systems with applications to combination drug therapy and leader selection in directed networks
	Algorithms for leader selection in stochastically forced consensus networks
	An ADMM algorithm for optimal sensor and actuator selection
	Design of optimal sparse interconnection graphs for synchronization of oscillator networks
	Topology design for stochastically-forced consensus networks
	Topology identification of undirected consensus networks via sparse inverse covariance estimation

Wide-area control of power networks

	Sparsity-promoting optimal wide-area control of power networks
	Input-output analysis and decentralized optimal control of inter-area oscillations in power systems