利用高斯过程实现基于学习的自触发控制的提升方法

IF 1.4 4区计算机科学 Q4 ROBOTICS

Advanced Robotics Pub Date : 2024-01-16 DOI:10.1080/01691864.2023.2301430

Wang Zhijun, Kazumune Hashimoto, Wataru Hashimoto, Shigemasa Takai

引用次数: 0

摘要

本文研究了网络控制系统（NCS）的自触发控制设计，在这种系统中，工厂的动态最初是未知的。考虑到自触发控制的性质，本文探讨了网络控制系统（NCS）的自触发控制设计。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A lifting approach to learning-based self-triggered control with Gaussian processes

This paper investigates the design of self-triggered control for networked control systems (NCS), where the dynamics of the plant are initially unknown. Given the nature of the self-triggered contr...

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Advanced Robotics 工程技术-机器人学

CiteScore

4.10

自引率

20.00%

发文量

102

审稿时长

5.3 months

期刊介绍： Advanced Robotics (AR) is the international journal of the Robotics Society of Japan and has a history of more than twenty years. It is an interdisciplinary journal which integrates publication of all aspects of research on robotics science and technology. Advanced Robotics publishes original research papers and survey papers from all over the world. Issues contain papers on analysis, theory, design, development, implementation and use of robots and robot technology. The journal covers both fundamental robotics and robotics related to applied fields such as service robotics, field robotics, medical robotics, rescue robotics, space robotics, underwater robotics, agriculture robotics, industrial robotics, and robots in emerging fields. It also covers aspects of social and managerial analysis and policy regarding robots. Advanced Robotics (AR) is an international, ranked, peer-reviewed journal which publishes original research contributions to scientific knowledge. All manuscript submissions are subject to initial appraisal by the Editor, and, if found suitable for further consideration, to peer review by independent, anonymous expert referees.