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Autonomous Motion Intelligent Control Systems Learning and Dynamical Systems Conference Paper 2015

LMI-Based Synthesis for Distributed Event-Based State Estimation

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Intelligent Control Systems
Sebastian Trimpe
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Learning and Dynamical Systems
Michael Muehlebach
Research Group Leader

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.

Author(s): Michael Muehlebach and Sebastian Trimpe
Book Title: Proceedings of the American Control Conference
Year: 2015
Month: July
Project(s):
Bibtex Type: Conference Paper (inproceedings)
DOI: 10.1109/ACC.2015.7171964
State: Published
Cross Ref: p10616
Electronic Archiving: grant_archive
Attachments:

BibTex 

@inproceedings{Muehlebach_PACC_2015,
  title = {LMI-Based Synthesis for Distributed Event-Based State Estimation},
  booktitle = {Proceedings of the American Control Conference},
  abstract = {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.},
  month = jul,
  year = {2015},
  slug = {muehlebach_pacc_2015},
  author = {Muehlebach, Michael and Trimpe, Sebastian},
  crossref = {p10616},
  month_numeric = {7}
}