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Scientists in the School of Electrical Engineering and Computer Science are advancing research across control systems, communications, and signal processing. These fundamental disciplines support practical implementations in aerospace, robotics, power systems, wireless networks, radar technology, underwater acoustics, sensor arrays, and information storage solutions.
Non-linear control theory examines the manageability and equilibrium of systems with non-linear elements. For instance, aircraft wing flaps exhibit linear behavior until reaching their maximum extension angle, where their response plateaus.
The study of large-scale dynamic networks concentrates on detecting and addressing control challenges in contemporary networked systems to enable component collaboration. This research finds uses in air traffic coordination, disease spread modeling, biological rhythm studies, networked sensors and autonomous vehicles, and electrical grid assessment.