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Many large-scale systems are automatically managed through networks of computers that are tied to sensors and actuators. The resulting sensor-actuator networks (also called networked control systems) fuse computational and physical processes in a manner that is often poorly understood. Dr. Lemmon's current research seeks to understand the inter-relationship between communication, computation, and control in such large-scale sensor-actuator networks. His recent work has been studying the use of an "event-triggered" approach to control, estimation, and optimization in which agents in a sensor-actuator network transmit information to their neighbors when some internal measure of information novelty exceeds a specified threshold. Event-triggered communication and feedback appear to provide a way of dramatically reducing communication network usage while maintaining a specified level of overall networked system performance. Dr. Lemmon's research seeks to better understand the benefits and limitations of such networked control systems from both a theoretical and practical perspective. His theoretical work explores the fundamental principles that limited communication and computational resources have on a networked system's performance. Dr. Lemmon's work has also applied these ideas to real-life sensor-actuator networks used in managing important components of the nation's civil infrastructure such as municipal wastewater systems and the national power grid.
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2022 American Control Conference (ACC)pp.520-525, (2022)
2022 AMERICAN CONTROL CONFERENCE (ACC)pp.520-525, (2022)
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Proceedings of the 2021 International Conference on Embedded Software (2021)
2021 International Conference on Embedded Software (EMSOFT)pp.1-10, (2021)
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