Complexity, Robustness, System Thermodynamics, and Optimality in Large Scale Network Aerospace Defense Systems
Technical Report,15 Jan 2016,15 Jan 2020
Georgia Institute of Technology Atlanta United States
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Controls research under this program concentrated on the development of a unified stochastic dynamical systems framework for nonlinear networks. In particular, control algorithms were developed to address agent interactions, cooperative and non-cooperative control, task assignments, resource allocations, and system optimality. To realize these tasks, appropriate sensory and cogitative capabilities such as adaptation, learning, decision-making, and agreement or consensus on the agent and multiagent levels were developed. Application areas included spacecraft stabilization, cooperative control of unmanned air vehicles, network systems, and swarms of air and space vehicle formations.
- Statistics and Probability