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Theoretical development of multi-domain command and control

We are developing an agent-based model that allows us to explore control and distributed machine learning concepts in a systems-of-systems framework. The model captures the complex interactions between vehicles with very different operational tempos (such as satellites and unmanned aerial vehicles (UAVs)) and a variety of environmental elements (communication towers, objects of interest, etc.). Treating the model as a complex adaptive system, we can explore issues of controllability and observability, such as the constraints needed to maintain multi-vehicle formations under diverse conditions, and scaling questions, such as the data rates among vehicles and control centers under diverse system parameters.