Title : ( Nonautoregressive Nonlinear Identification of IPMC in Large Deformation Situations Using Generalized Volterra-Based Approach )
Authors: Mohsen Annabestani , Nadia Naghavi , Mohammad Maymandi Nejad ,
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Abstract
Ionic polymer metal composites (IPMCs) are special smart materials that are biocompatible and can be used in biomedical and industrial applications. Using previous samples of a system output in a model (autoregressive models) is not feasible in dominant applications of IPMCs especially in biomedical applications. In this paper, we present a generalized Volterra-based model to achieve a nonautoregressive, nonparametric, and nonlinear identification of IPMC. The significant superiority of this approach is its capability to nonautoregressive identification of both linear and nonlinear behaviors of IPMC actuators even in large deformation situations.
Keywords
, Actuator, identification, ionic polymer metal composites (IPMC), nonautoregressive, volterra
@article{paperid:1059459,
author = {Annabestani, Mohsen and Naghavi, Nadia and Maymandi Nejad, Mohammad},
title = {Nonautoregressive Nonlinear Identification of IPMC in Large Deformation Situations Using Generalized Volterra-Based Approach},
journal = {IEEE Transactions on Instrumentation and Measurement},
year = {2016},
volume = {65},
number = {12},
month = {September},
issn = {0018-9456},
pages = {2866--2872},
numpages = {6},
keywords = {Actuator; identification; ionic polymer metal composites (IPMC); nonautoregressive; volterra},
}
%0 Journal Article
%T Nonautoregressive Nonlinear Identification of IPMC in Large Deformation Situations Using Generalized Volterra-Based Approach
%A Annabestani, Mohsen
%A Naghavi, Nadia
%A Maymandi Nejad, Mohammad
%J IEEE Transactions on Instrumentation and Measurement
%@ 0018-9456
%D 2016
