Two triggered information transmission algorithms for distributed moving horizon state estimation. (English) Zbl 1285.93095
Summary: 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.
MSC:
| 93E10 | Estimation and detection in stochastic control theory |
| 93E25 | Computational methods in stochastic control (MSC2010) |
| 93C10 | Nonlinear systems in control theory |
Keywords:
nonlinear systems; distributed state estimation; moving horizon estimation; information update algorithms; chemical processesReferences:
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