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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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 languageEnglish (US)
Title of host publication2010 IEEE International Conference on Control Applications, CCA 2010
Pages1458-1463
Number of pages6
DOIs
StatePublished - Dec 1 2010
Event2010 IEEE International Conference on Control Applications, CCA 2010 - Yokohama, Japan
Duration: Sep 8 2010Sep 10 2010

Publication series

NameProceedings of the IEEE International Conference on Control Applications

Other

Other2010 IEEE International Conference on Control Applications, CCA 2010
CountryJapan
CityYokohama
Period9/8/109/10/10

Fingerprint

Linearization Techniques
Feedback Linearization
Feedback linearization
FitzHugh-Nagumo
Action Potential
Output Feedback
Controllers
Cell
Cardiac Arrhythmias
Adaptive Observer
Controller
State Observer
Model
State Feedback
Controller Design
Cardiac
Unknown Parameters
Feedback Control
Design Process
Feedback control

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications
  • Mathematics(all)

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

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 proceedingConference contribution

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