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Two triggered information transmission algorithms for distributed moving horizon state estimation

Authors
Journal
Systems & Control Letters
0167-6911
Publisher
Elsevier
Volume
65
Identifiers
DOI: 10.1016/j.sysconle.2013.12.003
Keywords
  • Nonlinear Systems
  • Distributed State Estimation
  • Moving Horizon Estimation
  • Information Update Algorithms
  • Chemical Processes
Disciplines
  • Chemistry
  • Communication
  • Computer Science
  • Design

Abstract

Abstract In this work, we consider the reduction of information transmission frequency of distributed moving horizon estimation (DMHE) for a class of nonlinear systems in which interacting subsystems exchange information with each other through a shared communication network. Specifically, algorithms based on two event-triggered methods are proposed to reduce the number of information transmissions between the subsystems in a DMHE scheme. In the first algorithm, a subsystem sends out its current information when a triggering condition based on the difference between the current state estimate and a previously transmitted one is satisfied; in the second algorithm, the transmission of information from a subsystem to other subsystems is triggered by the difference between the current measurement of the output and its derivatives and a previously transmitted measurement. In order to ensure the convergence and ultimate boundedness of the estimation error, we also propose to redesign the local moving horizon estimator of a subsystem to account for the possible lack of state updates from other subsystems explicitly. A chemical process is utilized to demonstrate the applicability and performance of the proposed approaches.

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