文献类型：期刊文献

英文题名：The auxiliary controller design based on model-free control in the brain-machine interface

作者：Pan, Hongguang[1]; Mi, Wenyu[1]; Wang, Mei[1]; Sun, Jinggao[2]

机构：[1] College of Electric and Control Engineering, Xi'An University of Science and Technology, Xi'an, 710054, China; [2] Key Laboratory of Advanced Control and Optimization Technology, Ministry of Education, East China University of Science and Technology, Shanghai, 200237, China

年份：2018

起止页码：3578

外文期刊名：Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018

收录：EI(收录号：20183205650069)

语种：英文

摘要：In this paper, a model-free control (MFC) method is used to design an artificial feedback to compensate the lack of natural feedback and achieve the reaching task for a voluntary single joint. Considering the MFC only depends on the I/O data of system, and does not need the system model, it can avoid the complex analysis on the brain model, and reduce the difficulty of controller design. Moreover, through choosing different pseudo-partial-derivative values, the influence of the pseudo-partial- derivative value is analyzed and a series of control results are given; further, the computing efficiency is improved drastically through a comparison in the simulation. ? 2018 IEEE.