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Distributed Detection and Control of Collective Behaviors in Multi-agent Systems

PI Tianyu Yang

Multi-agent systems can be defined as a group of dynamical systems, in which certain emergent behaviors are exhibited through the local interaction among group members that individually have the capability of self-operating. The key issues we study include the analysis of network controllability and the design of coordination control protocol in order to achieve autonomous and optimal tasking allocation. Also, the detection and resilient control of emergent behaviors in large scale multi-agent systems are of keen interest. 

Our analysis is conducted through modeling, detection, learning, and estimation of agent interaction dynamics and interaction topologies, and the design of resilient cooperative control protocols. The projects have been funded by Air Force Research Laboratory Information Directorate (AFRL/RI) Machine Intelligence for Mission Focused Autonomy (MIMFA) program. The projects are in collaboration with researchers from Bradley University

Researchers

  • Thomas Yang

    Thomas Yang

    Department
    Electrical Engineering and Computer Science Dept
    Degrees
    Ph.D., M.S., University of Central Florida

Categories: Faculty-Staff