2015
DOI: 10.1002/cjce.22090
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Distributed estimation for a class of nonlinear systems with application to Navier‐Stokes flow estimation

Abstract: This paper presents a distributed estimation for a class of nonlinear systems operating over a sensor network. The paper investigates alternative consensus filters based on a nonlinear filter. This nonlinear filter arises in the design of observers for the estimation of Navier-Stokes flow based on a proper orthogonal decomposition method. Using point measurements operating over a sensor network, it is shown that the proposed distributed filter can be used to generate a consensus estimate of the overall Navier-… Show more

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Cited by 2 publications
(2 citation statements)
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“…To address this challenge, closed‐loop AFC systems based on ROMs must incorporate observers (or estimators), which are capable of generating estimates of the unmeasurable states using direct sensor measurements. () The theoretical design of nonlinear observers for flow systems is further complicated by the fact that the mathematical form of the sensor measurement equation is in a nonstandard form. Due, in part, to these practical challenges, the design of suitable closed‐loop AFC methods remains a challenging task.…”
Section: Introductionmentioning
confidence: 99%
“…To address this challenge, closed‐loop AFC systems based on ROMs must incorporate observers (or estimators), which are capable of generating estimates of the unmeasurable states using direct sensor measurements. () The theoretical design of nonlinear observers for flow systems is further complicated by the fact that the mathematical form of the sensor measurement equation is in a nonstandard form. Due, in part, to these practical challenges, the design of suitable closed‐loop AFC methods remains a challenging task.…”
Section: Introductionmentioning
confidence: 99%
“…There has been some work on developing observers for Navier-Stokes based systems. The papers [35,20,28] work with finite dimensional approximations of the PDE involved whereas we work with the full PDE itself. A completely different approach based on developing observers using appropriate continuous time limits of discrete time 3D-var or Kalman filter is developed in a series of papers [22,24,8] and also in [7,2,1,27,18,4].…”
mentioning
confidence: 99%