南方科技大学知识苑(SUSTech KC): Data-driven adaptive optimal control for discrete-time linear time-invariant systems

题名	Data-driven adaptive optimal control for discrete-time linear time-invariant systems
作者	Wu, Ai-Guo 1,2,3; Meng, Yuan 2
通讯作者	Wu, Ai-Guo
发表日期	2024-06-01
DOI	10.1080/00207721.2024.2364897
发表期刊	INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE 影响因子和分区
ISSN	0020-7721
EISSN	1464-5319
摘要	In this paper, the problem of data-driven quadratic optimal control is investigated for discrete-time linear systems without the exact knowledge of system dynamics. A value iteration-based algorithm is proposed to obtain the optimal feedback gain. The main idea of the proposed approach is to obtain two sequences for the approximation of the unique positive definite solution of the corresponding algebraic Riccati matrix equation and the optimal feedback gain by using the collected data of the system states and control inputs. The proposed algorithm could be activated by an arbitrary bounded control input and a simple initial value of the Lyapunov matrix. An important feature of this algorithm is that an original stabilising feedback gain is not required. Finally, the effectiveness of the proposed approach is verified by two examples.
关键词	Data-driven optimal control value iteration discrete-time linear systems
相关链接	[来源记录]
收录类别	SCI ; EI
语种	英语
学校署名	通讯
资助项目	Science Center Program of National Natural Science Foundation of China[62188101] ; National Natural Science Foundation of China[62173112] ; Shenzhen Science and Technology Program["KQTD20210811090146075","RCJC20210609104400005"] ; Preeminent Youth Team Project of Guangdong Provincial Natural Science Foundation[2024B1515040008] ; HITWuhu Robot Technology Research Institute[HIT-CXY-CMP2-IARU-21-01] ; Joint Funds of the National Natural Science Foundation of China[U2013203]
WOS研究方向	Automation & Control Systems ; Computer Science ; Operations Research & Management Science
WOS类目	Automation & Control Systems ; Computer Science, Theory & Methods ; Operations Research & Management Science
WOS记录号	WOS:001242852100001
出版者	TAYLOR & FRANCIS LTD
ESI学科分类	ENGINEERING
来源库	Web of Science
引用统计	被引频次[WOS]：1
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/788075
专题	工学院_系统设计与智能制造学院
作者单位	1.Harbin Inst Technol Shenzhen, Guangdong Prov Key Lab Intelligent Morphing Mech &, Shenzhen, Peoples R China 2.Harbin Inst Technol Shenzhen, Sch Mech Engn & Automat, Shenzhen 518055, Peoples R China 3.Southern Univ Sci & Technol, Sch Syst Design & Intelligent Mfg, Shenzhen, Peoples R China
第一作者单位	系统设计与智能制造学院
通讯作者单位	系统设计与智能制造学院
推荐引用方式 GB/T 7714	Wu, Ai-Guo,Meng, Yuan. Data-driven adaptive optimal control for discrete-time linear time-invariant systems[J]. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE,2024.
APA	Wu, Ai-Guo,&Meng, Yuan.(2024).Data-driven adaptive optimal control for discrete-time linear time-invariant systems.INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE.
MLA	Wu, Ai-Guo,et al."Data-driven adaptive optimal control for discrete-time linear time-invariant systems".INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE (2024).