Modeling of an ionic polymer metal composite actuator based on an extended Kalman filter trained neural network

Author：    

Publisher： IOP Publishing

ISSN： 0964-1726

Source： Smart Materials and Structures, Vol.23, Iss.7, 2014-07, pp. : 74008-74021

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Related content

Development of sulfonated poly(vinyl alcohol)/polpyrrole based ionic polymer metal composite (IPMC) actuator and its characterization

By Inamuddin   KhanAjahar   JainR K   NaushadMu  

Smart Materials and Structures, Vol. 24, Iss. 9, 2015-09 ,pp. : 95003-95016

IOP Publishing

Access to resources Recommend Favorite

Online Estimation of Allan Variance Coefficients Based on a Neural-Extended Kalman Filter

By Miao Zhiyong   Shen Feng   Xu Dingjie   He Kunpeng   Tian Chunmiao  

Sensors, Vol. 15, Iss. 2, 2015-01 ,pp. : 2496-2524

MDPI

Access to resources Recommend Favorite

Electromechanical performance of an ionic polymer-metal composite actuator with hierarchical surface texture

By He Qingsong   Yu Min   Zhang Xiaoqing   Dai Zhendong  

Smart Materials and Structures, Vol. 22, Iss. 5, 2013-05 ,pp. : 55001-55011

IOP Publishing

Access to resources Recommend Favorite

Analysis and experiment on a self-sensing ionic polymer–metal composite actuator

By    

Smart Materials and Structures, Vol. 23, Iss. 7, 2014-07 ,pp. : 74007-74016

IOP Publishing

Access to resources Recommend Favorite

Time-delay control of ionic polymer metal composite actuator

By  

Smart Materials and Structures, Vol. 24, Iss. 4, 2015-04 ,pp. : 47002-47010

IOP Publishing

Access to resources Recommend Favorite