0646411 20260226073416.520260223235959.9 10.1007/978-3-032-17899-2_13 18 s. 344 P cav_un_epca*0646410978-3-032-17898-51566284-301ChamSpringer2026GiniG.FilevD.PrecupR. E. Piezoceramic actuator Hammerstein model Hysteresis ARX model Feed-forward controller Physical modelling Euler–Bernoulli beam theory cav_un_auth*0382598 Kuklišová Pavelková Lenka UTIA-B Adaptivní systémy Department of Adaptive Systems AS AS Department of Adaptive Systems CZ 50 Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101064 Belda Květoslav UTIA-B Adaptivní systémy Department of Adaptive Systems AS AS Department of Adaptive Systems 50 Ústav teorie informace a automatizace AV ČR, v. v. i. https://library.utia.cas.cz/separaty/2026/AS/kuklisova-0646411.pdf GC23-04676J GA ČR CZ cav_un_auth*0453493 The paper presents a modelling and identification of a piezoelectric actuator and the feed-forward controller design. A commercial piezoelectric bender, model PL140, from Physik Instrumente Co. is considered. Its physical model is derived using Euler-Bernoulli beam theory. The model is designed to generate experimental data without using a real actuator. Nevertheless, this model is unsuitable for control design due to its complex structure. For the purpose of control, a Hammerstein model is proposed. Its structure comprises a static non-linear component that characterizes hysteresis and a dynamic linear component represented by a stochastic autoregressive model with external inputs (ARX model). The non-linear component of the Hammerstein model is represented by a shallow neural network. The parameters of the ARX model are estimated by the Bayesian approach. The feedforward controller is based on the independently inverted part of the developed Hammerstein model. The results are illustrated by simulations using the proposed physical model. 2027 BC 20000 20200 20204 2 RVO:67985556 https://hdl.handle.net/11104/0376312 S 2026 SCOPUS PUBMED WOS cav_un_epca*0646410 Informatics in Control, Automation and Robotics : 21st International Conference ICINCO 2024 Porto, Portugal, November 18-20, 2024 - Revised Selected Papers 1566 978-3-032-17898-5 284 301 Cham Springer 2026 Lecture Notes in Electrical Engineering 1566 Gini G. 340 Filev D. 340 Precup R. E. 340