The PhD in Control and Dynamical Systems at Caltech focuses on the study of complex systems, optimization, and control strategies. Research topics span robotics, autonomous systems, and the mathematical foundations of control theory.
Adaptive Control Systems for Autonomous Vehicles
Optimal Control for Robotic Manipulation
Multi-Agent Systems and Coordination Algorithms
Nonlinear Dynamics and Stability of Complex Systems
Fault Tolerant Control for Critical Infrastructure Systems
Robust Control Techniques for Aerospace Applications
Stochastic Modeling and Control of Networked Systems
Game Theory and Control for Strategic Systems
Learning-Based Control Systems for Industrial Automation
Quantum Control Systems for Quantum Computing
Distributed Control for Smart Grid Systems
Optimization Algorithms for Large-Scale Systems
Neural Network-Based Control Systems
Advanced Estimation Techniques for Dynamical Systems
Control Systems for Biomedical Applications
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