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Autonomous Motion Intelligent Control Systems Learning and Dynamical Systems Conference Paper LMI-Based Synthesis for Distributed Event-Based State Estimation Muehlebach, M., Trimpe, S. In Proceedings of the American Control Conference, July 2015 (Published)
This paper presents an LMI-based synthesis procedure for distributed event-based state estimation. Multiple agents observe and control a dynamic process by sporadically exchanging data over a broadcast network according to an event-based protocol. In previous work [1], the synthesis of event-based state estimators is based on a centralized design. In that case three different types of communication are required: event-based communication of measurements, periodic reset of all estimates to their joint average, and communication of inputs. The proposed synthesis problem eliminates the communication of inputs as well as the periodic resets (under favorable circumstances) by accounting explicitly for the distributed structure of the control system.
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Autonomous Motion Intelligent Control Systems Learning and Dynamical Systems Conference Paper Guaranteed H2 Performance in Distributed Event-Based State Estimation Muehlebach, M., Trimpe, S. In Proceeding of the First International Conference on Event-based Control, Communication, and Signal Processing, June 2015 (Published) PDF DOI BibTeX