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Adaptive Tracking Control of FIR Systems Under Binary-Valued Observations and Recursive Projection Identification
Wang, Ting; Hu, Min; Zhao, Yanlong
2021-09-01
Source PublicationIEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
ISSN2168-2216
Volume51Issue:9Pages:5289-5299
AbstractIn this article, adaptive tracking control of finite impulse response (FIR) systems is studied with binary-valued measurements. An adaptive control strategy is proposed based on an online identification algorithm. First, the designed control inputs are proved to be bounded and satisfy a persistent excitation (PE) condition under the assumption of periodic and PE target signals, which ensures the convergence of the identification algorithm. Second, the convergence rate of the identification algorithm is proved to be O(1/t) and it depends on the true parameter instead of a priori information of the parameter, which is more intuitive. Due to the convergence and the convergence rate of the identification algorithm, we finally prove that the adaptive tracking control is asymptotically optimal and the tracking speed is faster than the previous control algorithm. The simulations are given to validate the developed results in this article.
KeywordAdaptive tracking control binary-valued observations convergence convergence rate finite impulse response (FIR) systems identification
DOI10.1109/TSMC.2019.2946596
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2018YFA0703800] ; National Natural Science Foundation of China[61803370] ; National Natural Science Foundation of China[61622309] ; China Post-Doctoral Science Foundation[2018M630216]
WOS Research AreaAutomation & Control Systems ; Computer Science
WOS SubjectAutomation & Control Systems ; Computer Science, Cybernetics
WOS IDWOS:000685890800010
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/59099
Collection中国科学院数学与系统科学研究院
Corresponding AuthorZhao, Yanlong
AffiliationChinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Key Lab Syst & Control, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Wang, Ting,Hu, Min,Zhao, Yanlong. Adaptive Tracking Control of FIR Systems Under Binary-Valued Observations and Recursive Projection Identification[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2021,51(9):5289-5299.
APA Wang, Ting,Hu, Min,&Zhao, Yanlong.(2021).Adaptive Tracking Control of FIR Systems Under Binary-Valued Observations and Recursive Projection Identification.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,51(9),5289-5299.
MLA Wang, Ting,et al."Adaptive Tracking Control of FIR Systems Under Binary-Valued Observations and Recursive Projection Identification".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 51.9(2021):5289-5299.
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