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State Estimation of Hodgkin-Huxley Model Based on Membrane Potential
Author(s) -
Fang Liao,
Xu-Y. LOU
Publication year - 2017
Publication title -
destech transactions on engineering and technology research
Language(s) - English
Resource type - Journals
ISSN - 2475-885X
DOI - 10.12783/dtetr/icca2016/6049
Subject(s) - control theory (sociology) , observer (physics) , hodgkin–huxley model , computer science , state (computer science) , simple (philosophy) , controller (irrigation) , mathematics , artificial intelligence , control (management) , algorithm , physics , psychology , biology , philosophy , agronomy , neuroscience , quantum mechanics , epistemology
In this paper, we address the problem of estimating states of the Hodgkin-Huxley model by designing an adaptive observer where only the membrane potential is available. Compared with some existing literature, the observer is simple and the controller gain of the designed observer is adaptively updated based on the error of the actual and estimated membrane potential. Simulation results illustrate the effectiveness of the proposed adaptive observers.

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