New implementation of high-gain observers in the presence of measurement noise using stochastic approximation

Joonho Lee; Jongeun Choi; Hassan K. Khalil

doi:10.1109/ECC.2016.7810542

New implementation of high-gain observers in the presence of measurement noise using stochastic approximation

Joonho Lee, Jongeun Choi, Hassan K. Khalil

Department of Mechanical Engineering

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

3 Citations (Scopus)

Abstract

In this paper, we propose a new method for implementation of a High-Gain Observer (HGO) to cope with measurement noise through Stochastic Approximation (SA). Most approaches have been using a trade-off between a speed of regeneration of states in the presence of uncertainties and the effect of measurement noise. Through SA, we are able to reserve authentic properties of the HGO i.e., a fast reconstruction of system states and robustness to uncertainties, while dealing with the effect of measurement noise both in practical and analytical manners. Regularity conditions are verified to analyze the stability by the associated Ordinary Differential Equation (ODE), i.e., the ODE method. Stability analysis of the full system is conducted. Numerical simulation results demonstrate the validity of the proposed design method.

Original language	English
Title of host publication	2016 European Control Conference, ECC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1740-1745
Number of pages	6
ISBN (Electronic)	9781509025916
DOIs	https://doi.org/10.1109/ECC.2016.7810542
Publication status	Published - 2017 Jan 6
Event	2016 European Control Conference, ECC 2016 - Aalborg, Denmark Duration: 2016 Jun 29 → 2016 Jul 1

Publication series

Name	2016 European Control Conference, ECC 2016

Other

Other	2016 European Control Conference, ECC 2016
Country/Territory	Denmark
City	Aalborg
Period	16/6/29 → 16/7/1

Bibliographical note

Publisher Copyright:
© 2016 EUCA.

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Control and Optimization

Access to Document

10.1109/ECC.2016.7810542

Cite this

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title = "New implementation of high-gain observers in the presence of measurement noise using stochastic approximation",

abstract = "In this paper, we propose a new method for implementation of a High-Gain Observer (HGO) to cope with measurement noise through Stochastic Approximation (SA). Most approaches have been using a trade-off between a speed of regeneration of states in the presence of uncertainties and the effect of measurement noise. Through SA, we are able to reserve authentic properties of the HGO i.e., a fast reconstruction of system states and robustness to uncertainties, while dealing with the effect of measurement noise both in practical and analytical manners. Regularity conditions are verified to analyze the stability by the associated Ordinary Differential Equation (ODE), i.e., the ODE method. Stability analysis of the full system is conducted. Numerical simulation results demonstrate the validity of the proposed design method.",

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Lee, J, Choi, J & Khalil, HK 2017, New implementation of high-gain observers in the presence of measurement noise using stochastic approximation. in 2016 European Control Conference, ECC 2016., 7810542, 2016 European Control Conference, ECC 2016, Institute of Electrical and Electronics Engineers Inc., pp. 1740-1745, 2016 European Control Conference, ECC 2016, Aalborg, Denmark, 16/6/29. https://doi.org/10.1109/ECC.2016.7810542

New implementation of high-gain observers in the presence of measurement noise using stochastic approximation. / Lee, Joonho; Choi, Jongeun; Khalil, Hassan K.

2016 European Control Conference, ECC 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1740-1745 7810542 (2016 European Control Conference, ECC 2016).

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

TY - GEN

T1 - New implementation of high-gain observers in the presence of measurement noise using stochastic approximation

AU - Lee, Joonho

AU - Choi, Jongeun

AU - Khalil, Hassan K.

PY - 2017/1/6

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N2 - In this paper, we propose a new method for implementation of a High-Gain Observer (HGO) to cope with measurement noise through Stochastic Approximation (SA). Most approaches have been using a trade-off between a speed of regeneration of states in the presence of uncertainties and the effect of measurement noise. Through SA, we are able to reserve authentic properties of the HGO i.e., a fast reconstruction of system states and robustness to uncertainties, while dealing with the effect of measurement noise both in practical and analytical manners. Regularity conditions are verified to analyze the stability by the associated Ordinary Differential Equation (ODE), i.e., the ODE method. Stability analysis of the full system is conducted. Numerical simulation results demonstrate the validity of the proposed design method.

AB - In this paper, we propose a new method for implementation of a High-Gain Observer (HGO) to cope with measurement noise through Stochastic Approximation (SA). Most approaches have been using a trade-off between a speed of regeneration of states in the presence of uncertainties and the effect of measurement noise. Through SA, we are able to reserve authentic properties of the HGO i.e., a fast reconstruction of system states and robustness to uncertainties, while dealing with the effect of measurement noise both in practical and analytical manners. Regularity conditions are verified to analyze the stability by the associated Ordinary Differential Equation (ODE), i.e., the ODE method. Stability analysis of the full system is conducted. Numerical simulation results demonstrate the validity of the proposed design method.

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BT - 2016 European Control Conference, ECC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 29 June 2016 through 1 July 2016

ER -

New implementation of high-gain observers in the presence of measurement noise using stochastic approximation

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