Tracking normal action potential based on the FHN model using adaptive feedback linearization technique

R. Naderi; M. J. Yazdanpanah; Asad Azemi; B. Nazem Roaia

doi:10.1109/CCA.2010.5611092

Tracking normal action potential based on the FHN model using adaptive feedback linearization technique

R. Naderi, M. J. Yazdanpanah, Asad Azemi, B. Nazem Roaia

Penn State Brandywine

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

1 Scopus citations

Abstract

In this paper, we present an adaptive input-output feedback linearization controller, using the single cell FitzHugh-Nagumo (FHN) model, to track a normal action potential. The problem is to design a feedback control law which stabilizes an unstable rhythm of the FHN model and track a normal action potential only using output feedback. Here we use an adaptive observer to estimate the unknown parameters and states of the FHN model so that it can be used in the controller design process. The procedure is based on the combination of high-gain parameter and state observer and feedback linearization controller with the aim of reference signal tracking for the single cell FHN model. Simulation results show the efficacy of the proposed technique. FHN model seems to correctly capture the electrical behavior of the cardiac cells, and therefore this method might have important applications, especially, in the ground of control of cardiac arrhythmia.

Original language	English (US)
Title of host publication	2010 IEEE International Conference on Control Applications, CCA 2010
Pages	1458-1463
Number of pages	6
DOIs	https://doi.org/10.1109/CCA.2010.5611092
State	Published - 2010
Event	2010 IEEE International Conference on Control Applications, CCA 2010 - Yokohama, Japan Duration: Sep 8 2010 → Sep 10 2010

Publication series

Name	Proceedings of the IEEE International Conference on Control Applications

Other

Other	2010 IEEE International Conference on Control Applications, CCA 2010
Country/Territory	Japan
City	Yokohama
Period	9/8/10 → 9/10/10

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Computer Science Applications
General Mathematics

Access to Document

10.1109/CCA.2010.5611092

Cite this

Naderi, R., Yazdanpanah, M. J., Azemi, A., & Roaia, B. N. (2010). Tracking normal action potential based on the FHN model using adaptive feedback linearization technique. In 2010 IEEE International Conference on Control Applications, CCA 2010 (pp. 1458-1463). Article 5611092 (Proceedings of the IEEE International Conference on Control Applications). https://doi.org/10.1109/CCA.2010.5611092

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title = "Tracking normal action potential based on the FHN model using adaptive feedback linearization technique",

abstract = "In this paper, we present an adaptive input-output feedback linearization controller, using the single cell FitzHugh-Nagumo (FHN) model, to track a normal action potential. The problem is to design a feedback control law which stabilizes an unstable rhythm of the FHN model and track a normal action potential only using output feedback. Here we use an adaptive observer to estimate the unknown parameters and states of the FHN model so that it can be used in the controller design process. The procedure is based on the combination of high-gain parameter and state observer and feedback linearization controller with the aim of reference signal tracking for the single cell FHN model. Simulation results show the efficacy of the proposed technique. FHN model seems to correctly capture the electrical behavior of the cardiac cells, and therefore this method might have important applications, especially, in the ground of control of cardiac arrhythmia.",

author = "R. Naderi and Yazdanpanah, {M. J.} and Asad Azemi and Roaia, {B. Nazem}",

year = "2010",

doi = "10.1109/CCA.2010.5611092",

language = "English (US)",

isbn = "9781424453627",

series = "Proceedings of the IEEE International Conference on Control Applications",

pages = "1458--1463",

booktitle = "2010 IEEE International Conference on Control Applications, CCA 2010",

note = "2010 IEEE International Conference on Control Applications, CCA 2010 ; Conference date: 08-09-2010 Through 10-09-2010",

}

Naderi, R, Yazdanpanah, MJ, Azemi, A & Roaia, BN 2010, Tracking normal action potential based on the FHN model using adaptive feedback linearization technique. in 2010 IEEE International Conference on Control Applications, CCA 2010., 5611092, Proceedings of the IEEE International Conference on Control Applications, pp. 1458-1463, 2010 IEEE International Conference on Control Applications, CCA 2010, Yokohama, Japan, 9/8/10. https://doi.org/10.1109/CCA.2010.5611092

Tracking normal action potential based on the FHN model using adaptive feedback linearization technique. / Naderi, R.; Yazdanpanah, M. J.; Azemi, Asad et al.
2010 IEEE International Conference on Control Applications, CCA 2010. 2010. p. 1458-1463 5611092 (Proceedings of the IEEE International Conference on Control Applications).

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

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T1 - Tracking normal action potential based on the FHN model using adaptive feedback linearization technique

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AU - Azemi, Asad

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PY - 2010

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N2 - In this paper, we present an adaptive input-output feedback linearization controller, using the single cell FitzHugh-Nagumo (FHN) model, to track a normal action potential. The problem is to design a feedback control law which stabilizes an unstable rhythm of the FHN model and track a normal action potential only using output feedback. Here we use an adaptive observer to estimate the unknown parameters and states of the FHN model so that it can be used in the controller design process. The procedure is based on the combination of high-gain parameter and state observer and feedback linearization controller with the aim of reference signal tracking for the single cell FHN model. Simulation results show the efficacy of the proposed technique. FHN model seems to correctly capture the electrical behavior of the cardiac cells, and therefore this method might have important applications, especially, in the ground of control of cardiac arrhythmia.

AB - In this paper, we present an adaptive input-output feedback linearization controller, using the single cell FitzHugh-Nagumo (FHN) model, to track a normal action potential. The problem is to design a feedback control law which stabilizes an unstable rhythm of the FHN model and track a normal action potential only using output feedback. Here we use an adaptive observer to estimate the unknown parameters and states of the FHN model so that it can be used in the controller design process. The procedure is based on the combination of high-gain parameter and state observer and feedback linearization controller with the aim of reference signal tracking for the single cell FHN model. Simulation results show the efficacy of the proposed technique. FHN model seems to correctly capture the electrical behavior of the cardiac cells, and therefore this method might have important applications, especially, in the ground of control of cardiac arrhythmia.

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Tracking normal action potential based on the FHN model using adaptive feedback linearization technique

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