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Fuzzy PID control of epileptiform spikes in a neural mass model

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Abstract

In this paper, the problem of controlling epileptiform spikes in a neural mass model is addressed. Considering the complication and nonlinearity of the neural mass model, a fuzzy PID controller is designed so that epileptiform spikes are quenched and the output waveform tracks an expected one. The tracking effect is analyzed by numerical simulation for a regular network of coupled neural populations. The effect of important model parameters on the control energy and the effect of the types of controlled populations on the ability to realize the tracking purpose are analyzed for the same network.

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Acknowledgements

This research was supported by National Natural Science Foundation of China (61004050, 61273260, 61172095) and Specialized Research Fund for the Doctoral Program of Higher Education (20101333110006).

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Authors and Affiliations

  1. Key Lab of Industrial Computer Control Engineering of Hebei Province, Institute of Electrical Engineering, Yanshan University, Qinhuangdao, 066004, China

    Xian Liu, Huijun Liu, Yinggan Tang & Qing Gao

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  1. Xian Liu
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  2. Huijun Liu
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  3. Yinggan Tang
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  4. Qing Gao
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Correspondence to Xian Liu.

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Liu, X., Liu, H., Tang, Y. et al. Fuzzy PID control of epileptiform spikes in a neural mass model. Nonlinear Dyn 71, 13–23 (2013). https://doi.org/10.1007/s11071-012-0638-1

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  • DOI: https://doi.org/10.1007/s11071-012-0638-1

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