首页 /研究 /A Survey of Deep Neural Network Sliding Mode Control in Robot Application
LEARNING

A Survey of Deep Neural Network Sliding Mode Control in Robot Application

Kai Hu, Xu Chen, Liguo Weng, Lang Tian, Yongzan Hu

发表年份
2020
引用次数
3

摘要

Sliding Mode Control (SMC) has a good effect on solving typical nonlinear robot control systems. But it also has defects such as chattering, which limits its application. With the rapid development of artificial intelligence technology, researchers have proposed a hybrid controller based on Deep Neural Network (DNN) and SMC to improve SMC s control quality. This article introduces the latest research results in this field in recent years and conducts an in-depth analysis of these control algorithms fundamental principles. Finally, the future research directions in this field have prospected.

关键词

Artificial neural networkSliding mode controlControl engineeringField (mathematics)Computer scienceController (irrigation)Control (management)Nonlinear systemMode (computer interface)Artificial intelligence

相关论文

查看 LEARNING 分类全部论文