机器人时变二次规划容噪归零神经网络的进一步研究

Mei Liu, Shuai Li, Yinyan Zhang, Long Jin
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引用次数: 1

摘要

近年来,提出了一种改进的归零神经网络(MZNN)模型,用于求解二次规划问题,该模型具有抗噪声能力。在本文中,我们对该模型进行了进一步的研究,并提出了一个非线性函数激活模型。最后,将提出的非线性函数激活模型应用于机器人的运动控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Further Investigations on Noise-Tolerant Zeroing Neural Network for Time-Varying Quadratic Programming with Robotic Applications
Recently, a modified zeroing neural network (MZNN) model has been presented for solving quadratic programming problems, which is of noise-tolerant ability. In this paper, we conduct further investigations on such a model and then present a nonlinear function activated model. Finally, the presented nonlinear function activated model is applied to the motion control of robots.
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