发表状态 | 已发表Published |
题名 | Survey of transient performance control |
作者 | |
发表日期 | 2023-09-01 |
发表期刊 | Control Engineering Practice
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ISSN/eISSN | 0967-0661 |
卷号 | 138 |
摘要 | Control systems have played a key role in the advancement of technologies in almost every field. The technical competition in the fourth industrial revolution has now focused on high performance area. Transient performance control is the ultimate high-performance control and can serve applications such as flexible manufacturing, robots, UAVs, defense industry and medical systems. Rich modern control theories had been developed over the last few decades, and the majority of them are on stability related issues instead of performance. Actual applications lag the theories, causing so-called theory–practice gap. One key factor of the gap is scarcity of control design methods for transient performance. Transient performance control is to guarantee the transient performance specifications such as rise-time, overshoot and settling-time, which are truly demanded in practice. To promote transient performance control, this article reviews the control designs for transient performance, including finite-time stability and control, adaptive and prescribed performance control, and funnel control. The challenges and future research directions are addressed. The new solutions should be tested on typical industrial systems in benchmark against the existing control methods to show performance insurance and improvement of the former over the latter. |
关键词 | Finite-time control Funnel control Learning control Prescribed performance control Transient performance control |
DOI | 10.1016/j.conengprac.2023.105559 |
URL | 查看来源 |
收录类别 | SCIE |
语种 | 英语English |
WOS研究方向 | Automation & Control Systems ; Engineering |
WOS类目 | Automation & Control Systems ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:001034274800001 |
Scopus入藏号 | 2-s2.0-85163166082 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/10816 |
专题 | 理工科技学院 |
通讯作者 | Yu, Jinpeng |
作者单位 | 1.Institute of Artificial Intelligence and Future Networks,Beijing Normal University,Zhuhai,519087,China 2.Guangdong Key Lab of AI and Multi-Modal Data Processing,Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science,BNU-HKBU United International College,Zhuhai,519087,China 3.Department of Appl. Math.,Tongji University,Shanghai,1239 Siping Road,200092,China 4.State Key Laboratory of Synthetical Automation for Process Industries,Northeastern University,Shenyang,110819,China 5.School of Automation,Chongqing University,Chongqing,400044,China 6.College of Automation Engineering,Qingdao University,Qingdao,266071,China 7.Institute of Artificial Intelligence and Future Networks,Beijing Normal University,Zhuhai,Guangdong,519087,China |
第一作者单位 | 北师香港浸会大学 |
推荐引用方式 GB/T 7714 | Wang, Qingguo,Sun, Jitao,Zhang, Jin-Xiet al. Survey of transient performance control[J]. Control Engineering Practice, 2023, 138. |
APA | Wang, Qingguo, Sun, Jitao, Zhang, Jin-Xi, Huang, Jiangshuai, Yu, Jinpeng, & Dong, Huiwen. (2023). Survey of transient performance control. Control Engineering Practice, 138. |
MLA | Wang, Qingguo,et al."Survey of transient performance control". Control Engineering Practice 138(2023). |
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