Theoretical development of multi-domain command and control

Jason Crane; Islam Hussein; Ronnie Mainieri; Lorraine Weis

doi:10.1117/12.2518894

10 May 2019 Theoretical development of multi-domain command and control

Jason Crane, Islam Hussein, Ronnie Mainieri, Lorraine Weis

Proceedings Volume 11006, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications; 1100605 (2019) https://doi.org/10.1117/12.2518894
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

Abstract

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.

Conference Presentation

Citation Download Citation

Jason Crane, Islam Hussein, Ronnie Mainieri, and Lorraine Weis "Theoretical development of multi-domain command and control", Proc. SPIE 11006, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications, 1100605 (10 May 2019); https://doi.org/10.1117/12.2518894

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