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Adaptive Fuzzy Quantized Control for Nonlinear Systems With Hysteretic Actuator Using a New Filter-Connected Quantizer
Wu, Honghui1; Liu, Zhi1; Zhang, Yun1; Chen, C. L. Philip2,3,4
Source PublicationIEEE TRANSACTIONS ON CYBERNETICS
ISSN2168-2267
2020-03-01
Volume50Issue:3Pages:876-889
Corresponding AuthorLiu, Zhi(lz@gdut.edu.cn)
AbstractThis paper aims at the issue of adaptive fuzzy quantized control for a class of uncertain nonlinear systems preceded by unknown actuator hysteresis. One challenging problem that obstructs the development of the control scheme is that the direct application of the quantized signal containing high-frequency components to the hysteretic actuator will lead to system performance deterioration. To resolve this challenge, we propose a filter-connected quantizer in which a hysteretic quantizer is employed to reduce the communication rate and an adaptive high-cut filter is designed to smooth the hysteresis input. Furthermore, based on fuzzy logic systems' online approximation capability, a novel adaptive fuzzy control scheme involves a new control strategy and an adaptive strategy is constructed via a backstepping technique. It is proved that the proposed control scheme guarantees the tracking error is asymptotically convergent to an adjustable neighborhood of zero and all of the closed-loop signals are uniform ultimate bounded. Lastly, simulations are conducted to further verify our theoretical results.
KeywordHysteresis Actuators Nonlinear systems Fuzzy logic Adaptive systems Adaptation models Actuator hysteresis adaptive quantized control backstepping technique fuzzy logic systems (FLSs) nonlinear systems
DOI10.1109/TCYB.2018.2864166
WOS KeywordOUTPUT-FEEDBACK CONTROL ; TRACKING CONTROL ; NEURAL-CONTROL ; STABILIZATION ; CONSTRAINTS ; DESIGN
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[U1501251] ; Natural Science Foundation of Guangdong Province[2016A030313715] ; Natural Science Foundation of Guangdong Province through the Science Fund for Distinguished Young Scholars[S20120011437] ; Ministry of Education of New Century Excellent Talent[NCET-12-0637] ; National Natural Science Foundation of China[U1501251] ; Natural Science Foundation of Guangdong Province[2016A030313715] ; Natural Science Foundation of Guangdong Province through the Science Fund for Distinguished Young Scholars[S20120011437] ; Ministry of Education of New Century Excellent Talent[NCET-12-0637]
Funding OrganizationNational Natural Science Foundation of China ; Natural Science Foundation of Guangdong Province ; Natural Science Foundation of Guangdong Province through the Science Fund for Distinguished Young Scholars ; Ministry of Education of New Century Excellent Talent
WOS Research AreaAutomation & Control Systems ; Computer Science
WOS SubjectAutomation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS IDWOS:000510941100001
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Cited Times:13[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/28567
Collection离退休人员
Corresponding AuthorLiu, Zhi
Affiliation1.Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China
2.Univ Macau, Fac Sci & Technol, Macau 999078, Peoples R China
3.Dalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China
4.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Wu, Honghui,Liu, Zhi,Zhang, Yun,et al. Adaptive Fuzzy Quantized Control for Nonlinear Systems With Hysteretic Actuator Using a New Filter-Connected Quantizer[J]. IEEE TRANSACTIONS ON CYBERNETICS,2020,50(3):876-889.
APA Wu, Honghui,Liu, Zhi,Zhang, Yun,&Chen, C. L. Philip.(2020).Adaptive Fuzzy Quantized Control for Nonlinear Systems With Hysteretic Actuator Using a New Filter-Connected Quantizer.IEEE TRANSACTIONS ON CYBERNETICS,50(3),876-889.
MLA Wu, Honghui,et al."Adaptive Fuzzy Quantized Control for Nonlinear Systems With Hysteretic Actuator Using a New Filter-Connected Quantizer".IEEE TRANSACTIONS ON CYBERNETICS 50.3(2020):876-889.
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