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From traffic control via dynamic tooling and intelligent traffic light systems, to congestion controllers that exploit controllable autonomous vehicles and PDE-based congestion models.
Jorge Cortes
Mechanical Engineering
cortes@ucsd.edu
Systems and control, sensor networks, game theory, adversarial networks, cooperative robotics, and geometric mechanics
Mamadou Diagne
Mechanical Engineering
mdiagne@ucsd.edu
Controls and differential equations
Boris Kramer
Mechanical Engineering
bmkramer@ucsd.edu
Multifidelity and data-driven modeling, optimization, and control, uncertainty quantification, reliability-based design, and design under uncertainty in fluid flows
Sonia Martinez
Mechanical Engineering
soniamd@ucsd.edu
Distributed motion coordination, distributed estimation, optimal control for robotic locomotion, motion planning for underactuated systems
Miroslav Krstic
Mechanical Engineering
krstic@ucsd.edu
Nonlinear Control, Adaptive Systems, Delay Systems, Extremum Seeking
Jorge I. Poveda
Electrical Engineering
poveda@ucsd.edu
Hybrid control, nonlinear control, optimization, adaptive systems, learning-based control
Yang Zheng
Electrical Engineering
zhengy@ucsd.edu
Learning, Optimization, and Control of Network Systems, and their Applications to Autonomous Vehicles and Traffic Systems
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