Dynamics and Controls represents a broad multi-disciplinary area of research. The general aim is to model, analyze and regulate the behavior of dynamical systems. These systems may be physical such as mechanical, electrical, and biological; or economic, social and so forth. The salient feature of the task at hand is to cope with modeling errors, perturbations and disturbances, while ensuring a level of optimality in carrying out a sought objective. Additional challenges are introduced when the task is to be carried out by a collection of autonomous systems in a distributed, decentralized manner. Estimating parameters and learning while carrying out assigned tasks is yet another layer of increasingly more powerful capabilities becoming available with new technologies and availability of computational resources. Specific areas of interest include:
Control Theory and Algorithms
Autonomous and Distributed systems
Navigation and Flight systems
Machine Learning