A novel frequency-dependent hysteresis model based on improved neural Turing machine

作     者：Yinan WU Yongchun FANG Zhi FAN Cunhuan LIU 

作者机构：Institute of Robotics and Automatic Information System College of Artificial IntelligenceNankai University Tianjin Key Laboratory of Intelligent Robotics Nankai University 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2023年第66卷第1期

页      面：330-331页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by National Natural Science Foundation of China (Grant Nos. 61633012  62003172  21933006) 

主　　题：ATOMIC FORCE MICROSCOPY 

摘      要：Dear editor,The inherent hysteresis of a piezoelectric actuator(PEA) results in intricate nonlinearity between the output displacement and input voltage, which restricts positioning accuracy of the actuator [1, 2]. Hysteresis behavior appears as a coupling of nonlinearity, frequency-dependence and memory characteristic, which makes it difficult to comprehensively characterize hysteresis [3]. To eliminate the effect of hysteresis on the positioning accuracy of PEAs,