Geometric control theory for linear and nonlinear systems; Realization theory, model reduction and simulation of dynamical systems; Minimum sensitivity and robust control techniques; Applications of nonlinear modeling and control theory to: guidance systems, magnetic suspension and balance systems, induction motors, neural networks, and computer vision