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Improvement of a Prandtl-Ishlinskii model via multilayer neural network and hysteresis compensation of piezoelectric actuators
Micro/Nano Technology and Fine Mechanics | 更新时间：2026-03-05

    • Improvement of a Prandtl-Ishlinskii model via multilayer neural network and hysteresis compensation of piezoelectric actuators

    • “This article introduces the research progress of piezoelectric actuators in the fields of micro nano positioning and precision manufacturing. Experts propose an improved P-I modeling method using multi-layer neural networks to provide a solution to the problem of hysteresis nonlinear constraint control accuracy.”
    • Optics and Precision Engineering   Vol. 34, Issue 2, Pages: 255-266(2026)

    • DOI：10.37188/OPE.20263402.0255    

      CLC： TN384;TP273
    • CSTR：32169.14.OPE.20263402.0255    

    • Received：15 October 2025，

      Revised：2025-11-11，

      Published：25 January 2026

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  • HUANG Weiqing,WANG Wenjin,AN Dawei,et al.Improvement of a Prandtl-Ishlinskii model via multilayer neural network and hysteresis compensation of piezoelectric actuators[J].Optics and Precision Engineering,2026,34(02):255-266.

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