Decision-making under Uncertainty for Large-Scale Cyber-Physical Systems: From Theory to Smart City Applications
KEC 1001 Fri, 04/01/2016 - 9:00am Yan Wan Associate Professor, Department of Electrical Engineering, University of North Texas Abstract: Large-scale cyber-physical systems (CPSs) have a wide range of applications, such as transportation management, robot networking, and epidemic control. Real-time decision-making for large-scale CPSs is challenging considering the large network size, complex network structure, and intricate intertwined dynamics. Furthermore, uncertainties modulate network dynamics and significantly complicate decision-making tasks in realistic settings. To address these challenges, we have been pursuing theories and tools that proactively exploit uncertainties and network topologies to facilitate decision-making in real time. In this talk, I will motivate this problem using two real-world applications: unmanned aerial vehicle (UAV) networking and air traffic management. I will highlight several recent results, including scalable decision-making for high-dimensional uncertainties (called M-PCM-OFFD), big spatiotemporal dynamic data processing, and structure-exploiting measurement and design. I will also discuss our participation in the National SmartAmerica Challenge and Global City Team Challenge, as the lead of the Smart Emergency Response System (SERS) team. Bio: URL: http://eecs.oregonstate.edu/colloquium/decision-making-under-uncertainty-large-scale-cyber-physical-systems-theory-smart-city _______________________________________________ Colloquium mailing list [email protected] https://secure.engr.oregonstate.edu/mailman/listinfo/colloquium
