Document Detail


Robust complete synchronization of electrical coupling neurons under uncertain heterogeneous disturbances using adaptive internal model.
MedLine Citation:
PMID:  19964985     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
An adaptive internal model control strategy is introduced into the robust complete synchronization of two gap-junction coupled FizHugh-Nagumo (FHN) neurons under uncertain heterogeneous disturbances which satisfies some general immersion condition. The synchronization problem can be converted into a robust stabilization problem of an augmented system consisting of the original given plants and an internal model. An adaptive law is employed against uncertain disturbances to make the estimate of internal model to converge to the ideal one. Following a proper state-feedback stabilizer is designed to guarantee the asymptotic stability of the resulting closed-loop system achieved for some appointed initial condition in the state space and for all possible values of the uncertain parameter vector. Finally, the simulation results demonstrate the validity of the proposed method.
Authors:
Xile Wei; Jiang Wang; Yanqiu Che; Bin Deng; Feng Dong
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference     Volume:  2009     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2009  
Date Detail:
Created Date:  2009-12-07     Completed Date:  2010-04-22     Revised Date:  2014-08-21    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  3457-60     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Brain / pathology
Brain Mapping / methods
Computer Simulation
Feedback*
Humans
Models, Neurological
Models, Statistical
Neurons / pathology*
Nonlinear Dynamics
Pattern Recognition, Automated
Reproducibility of Results
Signal Processing, Computer-Assisted*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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