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Paper Abstract and Keywords
Presentation 2020-03-06 13:25
A finite state markov-chain approximation of the intermittent control model during human quiet standing using a finite element analysis of its Fokker-Planck equation
Keigo Togame, Akihiro Nakamura, Yasuyuki Suzuki, Taishin Nomura (Osaka Univ.) MBE2019-96
Abstract (in Japanese) (See Japanese page) 
(in English) The intermittent control during human quiet standing is a hypothetical neural control strategy that we have proposed in recent years. In this model, the standing posture is stabilized by switching between on and off in the use of a time-delay proportional-derivative feedback controller discontinuously depending on the postural state. By taking stochastic nature of the postural dynamics (postural sway) into account, the model driven by additive noise can be described by a hybrid stochastic differential equation. It is preferable that dynamics of such model is analyzed by a time evolution of probability density function of the state point, which can be described by a Fokker-Planck equation, rather than by that of a single sampled state point. Because a solution of a Fokker-Planck equation is a Markov process, we can obtain a finite state Markov-chain approximation of a Fokker-Planck equation using a finite element analysis that discretizes the equation in time and space. However, only few studies so far focused on the use of a finite element analysis for Fokker-Planck equation, particularly hybrid stochastic differential equations. In this study, we establish an algorithm for performing a finite element analysis for Fokker-Planck equations for hybrid stochastic differential equations. We then show that the developed algorithm can be successfully applied to the analysis of the intermittent postural control model.
Keyword (in Japanese) (See Japanese page) 
(in English) stochastic hybrid dynamical system / Fokker-Planck equation / finite element method / markov process / intermittent control / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 452, MBE2019-96, pp. 83-83, March 2020.
Paper # MBE2019-96 
Date of Issue 2020-02-26 (MBE) 
ISSN Online edition: ISSN 2432-6380
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Conference Information
Committee NC MBE  
Conference Date 2020-03-04 - 2020-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) University of Electro Communications 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Neuro Computing, Medical Engineering, etc. 
Paper Information
Registration To MBE 
Conference Code 2020-03-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A finite state markov-chain approximation of the intermittent control model during human quiet standing using a finite element analysis of its Fokker-Planck equation 
Sub Title (in English)  
Keyword(1) stochastic hybrid dynamical system  
Keyword(2) Fokker-Planck equation  
Keyword(3) finite element method  
Keyword(4) markov process  
Keyword(5) intermittent control  
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1st Author's Name Keigo Togame  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Akihiro Nakamura  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Yasuyuki Suzuki  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Taishin Nomura  
4th Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2020-03-06 13:25:00 
Presentation Time 25 minutes 
Registration for MBE 
Paper # MBE2019-96 
Volume (vol) vol.119 
Number (no) no.452 
Page p.83 
#Pages
Date of Issue 2020-02-26 (MBE) 


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