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基于径向基函数神经网络的非线性模型辨识 被引量:18
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作者 宋宜斌 王培进 《计算机工程》 CAS CSCD 北大核心 2004年第5期142-143,169,共3页
从径向基函数(RBF)神经网络原理分析出发,提出了一种基于RBF神经网络学习算法,用于对非线性对象模型的拟合与辨识,并将此方法用于实际非线性模型的学习与辨识。结果表明,基于RBF的神经网络可快速完成对样本的学习与拟合,对具有... 从径向基函数(RBF)神经网络原理分析出发,提出了一种基于RBF神经网络学习算法,用于对非线性对象模型的拟合与辨识,并将此方法用于实际非线性模型的学习与辨识。结果表明,基于RBF的神经网络可快速完成对样本的学习与拟合,对具有连续特性的线性与非线性模型,具有快速实时的学习速度和优良的学习性能。 展开更多
关键词 RBF神经网络 非线性模型辨识 径向基函数
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Modeling and sliding mode control based on inverse compensation of piezo-positioning system
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作者 LI Zhi-bin XIN Yuan-ze +1 位作者 ZHANG Jian-qiang SUN Chong-shang 《中国光学(中英文)》 北大核心 2025年第1期170-185,共16页
In order to enhance the control performance of piezo-positioning system,the influence of hysteresis characteristics and its compensation method are studied.Hammerstein model is used to represent the dynamic hysteresis... In order to enhance the control performance of piezo-positioning system,the influence of hysteresis characteristics and its compensation method are studied.Hammerstein model is used to represent the dynamic hysteresis nonlinear characteristics of piezo-positioning actuator.The static nonlinear part and dynamic linear part of the Hammerstein model are represented by models obtained through the Prandtl-Ishlinskii(PI)model and Hankel matrix system identification method,respectively.This model demonstrates good generalization capability for typical input frequencies below 200 Hz.A sliding mode inverse compensation tracking control strategy based on P-I inverse model and integral augmentation is proposed.Experimental results show that compared with PID inverse compensation control and sliding mode control without inverse compensation,the sliding mode inverse compensation control has a more ideal step response and no overshoot,moreover,the settling time is only 6.2 ms.In the frequency domain,the system closed-loop tracking bandwidth reaches 119.9 Hz,and the disturbance rejection bandwidth reaches 86.2 Hz.The proposed control strategy can effectively compensate the hysteresis nonlinearity,and improve the tracking accuracy and antidisturbance capability of piezo-positioning system. 展开更多
关键词 piezo-positioning system hysteresis nonlinearity Hammerstein model Prandtl-Ishlinskii(P-I)model system identification sliding mode control
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