Control, stabilization, and optimization in power networks, including those that incorporate renewable and intermittent sources.
Jorge Cortes
Mechanical Engineering
cortes@ucsd.edu
Systems and control, sensor networks, game theory, adversarial networks, cooperative robotics, and geometric mechanics
Raymond De Callafon
Mechanical Engineering
callafon@ucsd.edu
Simulation, prediction and control of dynamic systems, theory of modeling using system identification techniques, and the interaction between modeling and control
Patricia Hidalgo-Gonzalez
Mechanical Engineering
phidalgogonzalez@ucsd.edu
Renewable energy, optimization, climate change, control theory, machine learning
Sonia Martinez
Mechanical Engineering
soniamd@ucsd.edu
Distributed motion coordination, distributed estimation, optimal control for robotic locomotion, motion planning for underactuated systems
Jorge I. Poveda
Electrical Engineering
poveda@ucsd.edu
Hybrid control, nonlinear control, optimization, adaptive systems, learning-based control
Yuanyuan Shi
Electrical Engineering
yus047@ucsd.edu
Energy systems, cyber-physical systems, machine learning for energy management
Yang Zheng
Electrical Engineering
zhengy@ucsd.edu
Learning, Optimization, and Control of Network Systems, and their Applications to Autonomous Vehicles and Traffic Systems