Gauss-Newton moving horizon observer for state and parameter estimation of nonlinear networked control systems

Peter Philipp; Boris Lohmann

doi:10.23919/ecc.2009.7074654

Gauss-Newton moving horizon observer for state and parameter estimation of nonlinear networked control systems

Peter Philipp
, Boris Lohmann

Chair of Automatic Control

Technical University of Munich

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

In this paper a method to design an observer for state and parameter estimation of sampled nonlinear systems where the sensor possesses an unsynchronized time is presented. The sensor measurements are transmitted together with the relative time stamps as a packet to the observer via a communication network. These packets are subject to random delay or might even be completely lost. Using the information of a fixed number of past packets and the model equations, state and parameter estimation is expressed as a moving horizon optimization problem which is solved by using the Gauss-Newton algorithm. The performance of this method is illustrated using a simulated continuous stirred tank reactor.

Original language	English
Title of host publication	2009 European Control Conference, ECC 2009
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1740-1745
Number of pages	6
ISBN (Electronic)	9783952417393
DOIs	https://doi.org/10.23919/ecc.2009.7074654
State	Published - 26 Mar 2014
Event	2009 10th European Control Conference, ECC 2009 - Budapest, Hungary Duration: 23 Aug 2009 → 26 Aug 2009

Publication series

Name	2009 European Control Conference, ECC 2009

Conference

Conference	2009 10th European Control Conference, ECC 2009
Country/Territory	Hungary
City	Budapest
Period	23/08/09 → 26/08/09

Access to Document

10.23919/ecc.2009.7074654

Cite this

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title = "Gauss-Newton moving horizon observer for state and parameter estimation of nonlinear networked control systems",

abstract = "In this paper a method to design an observer for state and parameter estimation of sampled nonlinear systems where the sensor possesses an unsynchronized time is presented. The sensor measurements are transmitted together with the relative time stamps as a packet to the observer via a communication network. These packets are subject to random delay or might even be completely lost. Using the information of a fixed number of past packets and the model equations, state and parameter estimation is expressed as a moving horizon optimization problem which is solved by using the Gauss-Newton algorithm. The performance of this method is illustrated using a simulated continuous stirred tank reactor.",

author = "Peter Philipp and Boris Lohmann",

note = "Publisher Copyright: {\textcopyright} 2009 EUCA.; 2009 10th European Control Conference, ECC 2009 ; Conference date: 23-08-2009 Through 26-08-2009",

year = "2014",

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day = "26",

doi = "10.23919/ecc.2009.7074654",

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Philipp, P & Lohmann, B 2014, Gauss-Newton moving horizon observer for state and parameter estimation of nonlinear networked control systems. in 2009 European Control Conference, ECC 2009., 7074654, 2009 European Control Conference, ECC 2009, Institute of Electrical and Electronics Engineers Inc., pp. 1740-1745, 2009 10th European Control Conference, ECC 2009, Budapest, Hungary, 23/08/09. https://doi.org/10.23919/ecc.2009.7074654

Gauss-Newton moving horizon observer for state and parameter estimation of nonlinear networked control systems. / Philipp, Peter; Lohmann, Boris.
2009 European Control Conference, ECC 2009. Institute of Electrical and Electronics Engineers Inc., 2014. p. 1740-1745 7074654 (2009 European Control Conference, ECC 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Lohmann, Boris

PY - 2014/3/26

Y1 - 2014/3/26

N2 - In this paper a method to design an observer for state and parameter estimation of sampled nonlinear systems where the sensor possesses an unsynchronized time is presented. The sensor measurements are transmitted together with the relative time stamps as a packet to the observer via a communication network. These packets are subject to random delay or might even be completely lost. Using the information of a fixed number of past packets and the model equations, state and parameter estimation is expressed as a moving horizon optimization problem which is solved by using the Gauss-Newton algorithm. The performance of this method is illustrated using a simulated continuous stirred tank reactor.

AB - In this paper a method to design an observer for state and parameter estimation of sampled nonlinear systems where the sensor possesses an unsynchronized time is presented. The sensor measurements are transmitted together with the relative time stamps as a packet to the observer via a communication network. These packets are subject to random delay or might even be completely lost. Using the information of a fixed number of past packets and the model equations, state and parameter estimation is expressed as a moving horizon optimization problem which is solved by using the Gauss-Newton algorithm. The performance of this method is illustrated using a simulated continuous stirred tank reactor.

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M3 - Conference contribution

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T3 - 2009 European Control Conference, ECC 2009

SP - 1740

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BT - 2009 European Control Conference, ECC 2009

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2009 10th European Control Conference, ECC 2009

Y2 - 23 August 2009 through 26 August 2009

ER -

Gauss-Newton moving horizon observer for state and parameter estimation of nonlinear networked control systems

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