题名 | Data-Driven Adaptive Control: An Incremental Triangular Dynamic Linearization Approach |
作者 | |
发表日期 | 2022
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DOI | |
发表期刊 | |
ISSN | 1549-7747
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EISSN | 1558-3791
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卷号 | PP期号:99页码:1-1 |
摘要 | This paper investigates the data-driven control problem for a class of nonlinear systems. An incremental triangular dynamic linearization (ITDL) model is presented to equivalently describe these systems, and it contains three parameters including a single time-varying parameter, all of which have clear physical meanings. The ITDL model has obvious advantages compared with the existing partial form dynamic linearization (PFDL) model, although it is a special case of the PFDL model in form. An online estimation algorithm is designed for the single time-varying parameter, and then an adaptive control law is designed. The convergence and stability of the closed-loop system are analyzed, and the corresponding explicit conditions are derived. Finally, a comparative simulation study is conducted to illustrate the effectiveness of the proposed method. |
关键词 | |
相关链接 | [Scopus记录] |
收录类别 | |
语种 | 英语
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学校署名 | 其他
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资助项目 | Beijing Natural Science Foundation[4222045]
; National Natural Science Foundation of China["62173002","62173255"]
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WOS研究方向 | Engineering
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WOS类目 | Engineering, Electrical & Electronic
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WOS记录号 | WOS:000922028300065
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出版者 | |
EI入藏号 | 20222412227772
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EI主题词 | Adaptive control systems
; Convergence of numerical methods
; Data structures
; Heuristic algorithms
; Linearization
; Manganese
; Time varying control systems
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EI分类号 | Manganese and Alloys:543.2
; Computer Programming:723.1
; Data Processing and Image Processing:723.2
; Control Systems:731.1
; Numerical Methods:921.6
; Systems Science:961
|
ESI学科分类 | ENGINEERING
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Scopus记录号 | 2-s2.0-85131797940
|
来源库 | Scopus
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全文链接 | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9790877 |
引用统计 |
被引频次[WOS]:17
|
成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/336275 |
专题 | 工学院_系统设计与智能制造学院 |
作者单位 | 1.Key Laboratory of Fieldbus Technology and Automation of Beijing, North China University of Technology, Beijing, China 2.Center for Control Science and Technology, Southern University of Science and Technology, Shenzhen, China 3.School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne VIC, Australia |
推荐引用方式 GB/T 7714 |
Pang,Zhong Hua,Ma,Biao,Liu,Guo Ping,et al. Data-Driven Adaptive Control: An Incremental Triangular Dynamic Linearization Approach[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS,2022,PP(99):1-1.
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APA |
Pang,Zhong Hua,Ma,Biao,Liu,Guo Ping,&Han,Qing Long.(2022).Data-Driven Adaptive Control: An Incremental Triangular Dynamic Linearization Approach.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS,PP(99),1-1.
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MLA |
Pang,Zhong Hua,et al."Data-Driven Adaptive Control: An Incremental Triangular Dynamic Linearization Approach".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS PP.99(2022):1-1.
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