UKF-based key-parameters compensation control for abnormal firing in PR model

Xile Wei; Jian Cheng; Jiang Wang; Bin Deng; Meili Lu; Yanqiu Che

doi:10.1109/BMEI.2011.6098725

UKF-based key-parameters compensation control for abnormal firing in PR model

Xile Wei, Jian Cheng, Jiang Wang, Bin Deng, Meili Lu, Yanqiu Che

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

Abstract

Abnormal firing of neurons is often caused by the abnormality of one or more parameters. These parameters can't be measured in actual physical experiment, but can be estimated with estimator. Brain is a complex nonlinear system with a large amount of noise. UKF (Unscented Kalman Filter) is a good choice to estimate the parameters of nonlinear system. In this paper we design a compensation control based on UKF to recover the morbid system. Take the deviation between the estimated and the standard parameters as control signal and use this signal to control the firing state of the neurons. It is found that our control can eliminate the abnormal firing caused by two or more abnormal parameters.

Original language	English (US)
Title of host publication	Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
Pages	2023-2027
Number of pages	5
DOIs	https://doi.org/10.1109/BMEI.2011.6098725
State	Published - 2011
Event	2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011 - Shanghai, China Duration: Oct 15 2011 → Oct 17 2011

Publication series

Name	Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
Volume	4

Other

Other	2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
Country/Territory	China
City	Shanghai
Period	10/15/11 → 10/17/11

All Science Journal Classification (ASJC) codes

Biomedical Engineering
Health Informatics
Health Information Management

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10.1109/BMEI.2011.6098725

Cite this

Wei, X., Cheng, J., Wang, J., Deng, B., Lu, M., & Che, Y. (2011). UKF-based key-parameters compensation control for abnormal firing in PR model. In Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011 (pp. 2023-2027). Article 6098725 (Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011; Vol. 4). https://doi.org/10.1109/BMEI.2011.6098725

@inproceedings{c40b4cd3b0f04be4b99c3a384480c866,

title = "UKF-based key-parameters compensation control for abnormal firing in PR model",

abstract = "Abnormal firing of neurons is often caused by the abnormality of one or more parameters. These parameters can't be measured in actual physical experiment, but can be estimated with estimator. Brain is a complex nonlinear system with a large amount of noise. UKF (Unscented Kalman Filter) is a good choice to estimate the parameters of nonlinear system. In this paper we design a compensation control based on UKF to recover the morbid system. Take the deviation between the estimated and the standard parameters as control signal and use this signal to control the firing state of the neurons. It is found that our control can eliminate the abnormal firing caused by two or more abnormal parameters.",

author = "Xile Wei and Jian Cheng and Jiang Wang and Bin Deng and Meili Lu and Yanqiu Che",

year = "2011",

doi = "10.1109/BMEI.2011.6098725",

language = "English (US)",

isbn = "9781424493524",

series = "Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011",

pages = "2023--2027",

booktitle = "Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011",

note = "2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011 ; Conference date: 15-10-2011 Through 17-10-2011",

}

Wei, X, Cheng, J, Wang, J, Deng, B, Lu, M & Che, Y 2011, UKF-based key-parameters compensation control for abnormal firing in PR model. in Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011., 6098725, Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011, vol. 4, pp. 2023-2027, 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011, Shanghai, China, 10/15/11. https://doi.org/10.1109/BMEI.2011.6098725

UKF-based key-parameters compensation control for abnormal firing in PR model. / Wei, Xile; Cheng, Jian; Wang, Jiang et al.
Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011. 2011. p. 2023-2027 6098725 (Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011; Vol. 4).

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

TY - GEN

T1 - UKF-based key-parameters compensation control for abnormal firing in PR model

AU - Wei, Xile

AU - Cheng, Jian

AU - Wang, Jiang

AU - Deng, Bin

AU - Lu, Meili

AU - Che, Yanqiu

PY - 2011

Y1 - 2011

N2 - Abnormal firing of neurons is often caused by the abnormality of one or more parameters. These parameters can't be measured in actual physical experiment, but can be estimated with estimator. Brain is a complex nonlinear system with a large amount of noise. UKF (Unscented Kalman Filter) is a good choice to estimate the parameters of nonlinear system. In this paper we design a compensation control based on UKF to recover the morbid system. Take the deviation between the estimated and the standard parameters as control signal and use this signal to control the firing state of the neurons. It is found that our control can eliminate the abnormal firing caused by two or more abnormal parameters.

AB - Abnormal firing of neurons is often caused by the abnormality of one or more parameters. These parameters can't be measured in actual physical experiment, but can be estimated with estimator. Brain is a complex nonlinear system with a large amount of noise. UKF (Unscented Kalman Filter) is a good choice to estimate the parameters of nonlinear system. In this paper we design a compensation control based on UKF to recover the morbid system. Take the deviation between the estimated and the standard parameters as control signal and use this signal to control the firing state of the neurons. It is found that our control can eliminate the abnormal firing caused by two or more abnormal parameters.

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SN - 9781424493524

T3 - Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011

SP - 2023

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BT - Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011

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Wei X, Cheng J, Wang J, Deng B, Lu M, Che Y. UKF-based key-parameters compensation control for abnormal firing in PR model. In Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011. 2011. p. 2023-2027. 6098725. (Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011). doi: 10.1109/BMEI.2011.6098725

UKF-based key-parameters compensation control for abnormal firing in PR model

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