Estimation over unreliable communication links without arrival information of packet losses

Xiao Ma; Seddik M. Djouadi; Teja Kuruganti; James J. Nutaro; Anis Drira

doi:10.1063/1.3106480

Estimation over unreliable communication links without arrival information of packet losses

Xiao Ma, Seddik M. Djouadi, Teja Kuruganti, James J. Nutaro, Anis Drira

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper considers the estimation of a linear stochastic discrete-time system through an unreliable network. Packet losses from the sensor to the estimator are assumed to follow a Bernoulli distribution, while information loss at any time is not assumed to be available at the receiver. A new estimator is derived from the Kalman filter by using the probability of packet arrivals. It is shown that the new estimator provides a good estimate under unreliable communications with packet losses. The estimator is used successfully in a Linear Quadratic Gaussian (LQG) controller to stabilize an inverted pendulum system and compared to the standard Kalman filter.

Original language	English
Pages (from-to)	243-248
Number of pages	6
Journal	AIP Conference Proceedings
Volume	1107
DOIs	https://doi.org/10.1063/1.3106480
State	Published - 2009
Event	2nd Mediterranean Conference on Intelligent Systems and Automation, CISA 2009 - Zarzis, Tunisia Duration: Mar 23 2009 → Mar 25 2009

Keywords

Kalman filter
Packet dropouts
Stimation
Stochastic control
Unreliable communication

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10.1063/1.3106480

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title = "Estimation over unreliable communication links without arrival information of packet losses",

abstract = "This paper considers the estimation of a linear stochastic discrete-time system through an unreliable network. Packet losses from the sensor to the estimator are assumed to follow a Bernoulli distribution, while information loss at any time is not assumed to be available at the receiver. A new estimator is derived from the Kalman filter by using the probability of packet arrivals. It is shown that the new estimator provides a good estimate under unreliable communications with packet losses. The estimator is used successfully in a Linear Quadratic Gaussian (LQG) controller to stabilize an inverted pendulum system and compared to the standard Kalman filter.",

keywords = "Kalman filter, Packet dropouts, Stimation, Stochastic control, Unreliable communication",

author = "Xiao Ma and Djouadi, {Seddik M.} and Teja Kuruganti and Nutaro, {James J.} and Anis Drira",

year = "2009",

doi = "10.1063/1.3106480",

language = "English",

volume = "1107",

pages = "243--248",

journal = "AIP Conference Proceedings",

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publisher = "American Institute of Physics",

note = "2nd Mediterranean Conference on Intelligent Systems and Automation, CISA 2009 ; Conference date: 23-03-2009 Through 25-03-2009",

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T1 - Estimation over unreliable communication links without arrival information of packet losses

AU - Ma, Xiao

AU - Djouadi, Seddik M.

AU - Kuruganti, Teja

AU - Nutaro, James J.

AU - Drira, Anis

PY - 2009

Y1 - 2009

N2 - This paper considers the estimation of a linear stochastic discrete-time system through an unreliable network. Packet losses from the sensor to the estimator are assumed to follow a Bernoulli distribution, while information loss at any time is not assumed to be available at the receiver. A new estimator is derived from the Kalman filter by using the probability of packet arrivals. It is shown that the new estimator provides a good estimate under unreliable communications with packet losses. The estimator is used successfully in a Linear Quadratic Gaussian (LQG) controller to stabilize an inverted pendulum system and compared to the standard Kalman filter.

AB - This paper considers the estimation of a linear stochastic discrete-time system through an unreliable network. Packet losses from the sensor to the estimator are assumed to follow a Bernoulli distribution, while information loss at any time is not assumed to be available at the receiver. A new estimator is derived from the Kalman filter by using the probability of packet arrivals. It is shown that the new estimator provides a good estimate under unreliable communications with packet losses. The estimator is used successfully in a Linear Quadratic Gaussian (LQG) controller to stabilize an inverted pendulum system and compared to the standard Kalman filter.

KW - Kalman filter

KW - Packet dropouts

KW - Stimation

KW - Stochastic control

KW - Unreliable communication

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U2 - 10.1063/1.3106480

DO - 10.1063/1.3106480

M3 - Conference article

AN - SCOPUS:65649116637

SN - 0094-243X

VL - 1107

SP - 243

EP - 248

JO - AIP Conference Proceedings

JF - AIP Conference Proceedings

T2 - 2nd Mediterranean Conference on Intelligent Systems and Automation, CISA 2009

Y2 - 23 March 2009 through 25 March 2009

ER -

Estimation over unreliable communication links without arrival information of packet losses

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Keywords

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