Robust adaptive fuzzy tracking control of stochastic neuron systems

Huiyan Li, Jiang Wang, Qitao Jin, Bin Deng, Xile Wei, Yanqiu Che

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

Abstract

Nerve cells communicate by generating and transmitting action potentials. Annihilation of neural oscillation by functional electrical stimulation is a promising treatment modality in neural diseases. In this paper, a robust adaptive fuzzy tracking control is proposed for stochastic Hodgkin-Huxley (HH) neuron systems to generate a desired reference response in spite of environmental noises, uncertain initial values, and diffusion currents from other interconnected nerve cells. The robust adaptive fuzzy tracking control scheme can provide new methods for desired action potential generation, suppression of oscillations with a single compartment nerve cell model, and blockage of action potential transmission with a multi-compartment nerve fiber model under environmental noise and diffusion currents.

Original languageEnglish (US)
Title of host publicationProceedings - 2012 International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012
Pages497-500
Number of pages4
DOIs
StatePublished - May 18 2012
Event2nd International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012 - Sanya, Hainan, China
Duration: Jan 6 2012Jan 7 2012

Publication series

NameProceedings - 2012 International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012

Other

Other2nd International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012
CountryChina
CitySanya, Hainan
Period1/6/121/7/12

Fingerprint

Neurons
Fibers

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Artificial Intelligence

Cite this

Li, H., Wang, J., Jin, Q., Deng, B., Wei, X., & Che, Y. (2012). Robust adaptive fuzzy tracking control of stochastic neuron systems. In Proceedings - 2012 International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012 (pp. 497-500). [6173253] (Proceedings - 2012 International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012). https://doi.org/10.1109/ISdea.2012.651
Li, Huiyan ; Wang, Jiang ; Jin, Qitao ; Deng, Bin ; Wei, Xile ; Che, Yanqiu. / Robust adaptive fuzzy tracking control of stochastic neuron systems. Proceedings - 2012 International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012. 2012. pp. 497-500 (Proceedings - 2012 International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012).
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Li, H, Wang, J, Jin, Q, Deng, B, Wei, X & Che, Y 2012, Robust adaptive fuzzy tracking control of stochastic neuron systems. in Proceedings - 2012 International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012., 6173253, Proceedings - 2012 International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012, pp. 497-500, 2nd International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012, Sanya, Hainan, China, 1/6/12. https://doi.org/10.1109/ISdea.2012.651

Robust adaptive fuzzy tracking control of stochastic neuron systems. / Li, Huiyan; Wang, Jiang; Jin, Qitao; Deng, Bin; Wei, Xile; Che, Yanqiu.

Proceedings - 2012 International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012. 2012. p. 497-500 6173253 (Proceedings - 2012 International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012).

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

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Li H, Wang J, Jin Q, Deng B, Wei X, Che Y. Robust adaptive fuzzy tracking control of stochastic neuron systems. In Proceedings - 2012 International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012. 2012. p. 497-500. 6173253. (Proceedings - 2012 International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012). https://doi.org/10.1109/ISdea.2012.651