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.
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