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Preview repetitive control for linear discrete-time periodic systems
Li, Li2,3; Lu, Yanrong1
刊名INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
2021
关键词augmented 2D system linear periodic systems preview repetitive control state and output feedback tracking control
ISSN号0890-6327
DOI10.1002/acs.3346
英文摘要A discrete-time preview repetitive control (PRC) scheme was proposed for linear discrete-time periodic systems that were subjected to previewable reference signals. First, the state augmentation technique was used to derive an augmented system that included future information on previewable signals. Second, a two-dimensional (2D) model was developed for the augmented system so that the control and leaning actions can be adjusted preferentially by using control gains. Sufficient conditions that guarantee the closed-loop stability of the augmented 2D systems were derived, and the design of a periodic controller with preview action and repetitive control was proposed using the linear matrix inequality approach. Finally, the effectiveness of the proposed PRC was established by using two numerical simulation examples.
WOS研究方向Automation & Control Systems ; Engineering
语种英语
出版者WILEY
WOS记录号WOS:000729617000001
内容类型期刊论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/154945]  
专题兰州理工大学
作者单位1.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China
2.Hubei Univ Econ, Sch Informat Management & Stat, Wuhan, Peoples R China;
3.Hubei Univ Econ, Collaborat Innovat Ctr, China Pilot Reform Explorat & Assessment Hubei Su, Wuhan, Peoples R China;
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GB/T 7714
Li, Li,Lu, Yanrong. Preview repetitive control for linear discrete-time periodic systems[J]. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING,2021.
APA Li, Li,&Lu, Yanrong.(2021).Preview repetitive control for linear discrete-time periodic systems.INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING.
MLA Li, Li,et al."Preview repetitive control for linear discrete-time periodic systems".INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING (2021).
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