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Kexue Zhang is an Assistant Professor in the Department of Mathematics and Statistics at Queen's University. His research interests primarily focus on applied mathematics, with a specific emphasis on the theory and applications of hybrid control systems and time delays. He investigates differential equations and time scales, particularly in contexts that necessitate simultaneous continuous-time and discrete-time modeling. His expertise includes hybrid systems control, emphasizing feedback control mechanisms that utilize system information derived from measurements to achieve desired performance. A notable aspect of his research is the development of event-triggered control strategies that enhance the efficiency of control implementations by updating feedback signals only when specific events occur or when system states surpass predetermined thresholds. This research also extends to self-triggered and sampled-data control methodologies. He explores various applications ranging from robotic control to disease control, as well as distributed optimization. Furthermore, his work addresses the challenges and qualitative analysis of time-delay systems and time scales, providing critical insight into the effective modeling of dynamic processes using functional differential equations. Dr. Zhang possesses advanced degrees from the University of Waterloo and Shandong University, as well as M.Sc. and B.Sc. degrees from the China University of Petroleum.
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