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Dynamics and Controls encompasses a wide-ranging, interdisciplinary field of study. The primary goal involves creating models, examining, and managing the performance of dynamic systems. These systems can range from physical entities like mechanical, electrical, and biological systems to economic and social structures. A key aspect of this work is addressing modeling inaccuracies, external interferences, and disruptions while maintaining optimal performance in achieving desired outcomes. Further complexities arise when coordinating multiple autonomous systems to work together in a decentralized fashion. Parameter estimation and adaptive learning during task execution represent another evolving capability, enabled by advancing technologies and greater computational power. Key focus areas include:
Control Theory and Algorithms
Autonomous and Distributed systems
Navigation and Flight systems
Machine Learning