Nonlinear, Geometric & Adaptive Control

Robotics, Machine Learning, Control Theory, Optimization, and Computer Vision

Modeling for control, System Identification, and State Estimation. Stochastic Systems and the Interface between Control and Communications 

Simulation, prediction and control of dynamic systems, theory of modeling using system identification techniques, and the interaction between modeling and control

Controls and differential equations

New techniques for safety and efficiency in autonomous systems

Multifidelity and data-driven modeling, optimization, and control, uncertainty quantification, reliability-based design, and design under uncertainty in fluid flows

Nonlinear Control, Adaptive Systems, Delay Systems, Extremum Seeking 

Computational Geometric Mechanics,  Computational Geometric Control Theory, Numerical Analysis

Distributed motion coordination, distributed estimation, optimal control for robotic locomotion, motion planning for underactuated systems

Nonlinear Control, Relations between Stochastic and Deterministic Control, Max-Plus and Idempotent Analysis, Fundamental Solutions for Action Functional Formulations, Numerical Methods.

Hybrid control, nonlinear control, optimization, adaptive systems, learning-based control

Learning, Optimization, and Control of Network Systems, and their Applications to Autonomous Vehicles and Traffic Systems