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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：2026-01-29

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

    • “In the field of micro nano positioning and precision manufacturing, researchers have proposed a multi-layer neural network improved P-I modeling method to address the hysteresis nonlinearity problem of piezoelectric actuators, effectively improving the system 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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