Dynamics and Controls Projects
Non-linear Adaptive Control
This research focuses on the use of a direct Neural Network based adaptive control architecture that compensates for unknown plant nonlinearities in a feedback linearizing control framework. We analyze the system performance and stability based on Lyapunov theory. Robustness to actuator dynamics is a topic of interest.

