计算机科学
人工神经网络
机器人
人工智能
控制理论(社会学)
滑模控制
移动机器人
控制工程
控制(管理)
控制器(灌溉)
机器人控制
控制系统
弹道
循环神经网络
作者
Kai Hu,Xu Chen,Liguo Weng,Tian Lang,Hu Yongzan
出处
期刊:Chinese Automation Congress
日期:2020-11-06
标识
DOI:10.1109/cac51589.2020.9327212
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.
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