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NARMAX Approach for the Identification of a Dielectric Electroactive Polymer Actuator


[ 1 ] Instytut Automatyki i Robotyki, Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.2] Automation, electronics, electrical engineering and space technology

Year of publication


Published in

International Journal of Control, Automation and Systems

Journal year: 2023 | Journal volume: vol. 21 | Journal number: no. 9

Article type

scientific article

Publication language


  • DEAP
  • dielectric electroactive polymer actuator
  • machine learning
  • system identification

EN System identification is a field of control engineering that deals with the preparation of a mathematical description by recognizing the static and dynamic properties of automation systems. It becomes particularly important in the black-box approach, in which the modeling technique constructs a model using only the output data obtained from the system based on the known input signal. One of the most complete and powerful identification methodologies available today for the identification of nonlinear systems is the NARMAX approach. This paper presents and compares three methodologies used to approximate the unknown structure of a dielectric electroactive polymer actuator by applying one-step and multi-step prediction. The motivation of this study was to check the possibilities of the recent identification techniques on the object with complicated dynamics like DEAP actuators.

Date of online publication


Pages (from - to)

3080 - 3090




Ministry points / journal


Impact Factor

3.2 [List 2022]

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