Adaptive Fuzzy Quantized Control for Nonlinear Systems With Hysteretic Actuator Using a New Filter-Connected Quantizer

doi:10.1109/TCYB.2018.2864166

	Adaptive Fuzzy Quantized Control for Nonlinear Systems With Hysteretic Actuator Using a New Filter-Connected Quantizer
	Wu, Honghui 4; Liu, Zhi 4; Zhang, Yun 4; Chen, C. L. Philip 1,2,3
刊名	IEEE TRANSACTIONS ON CYBERNETICS
	2020-03-01
卷号	50 期号:3 页码:876-889
关键词	Hysteresis Actuators Nonlinear systems Fuzzy logic Adaptive systems Adaptation models Actuator hysteresis adaptive quantized control backstepping technique fuzzy logic systems (FLSs) nonlinear systems
ISSN号	2168-2267
DOI	10.1109/TCYB.2018.2864166
通讯作者	Liu, Zhi(lz@gdut.edu.cn)
英文摘要	This 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.
资助项目	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]
WOS关键词	OUTPUT-FEEDBACK CONTROL ; TRACKING CONTROL ; NEURAL-CONTROL ; STABILIZATION ; CONSTRAINTS ; DESIGN
WOS研究方向	Automation & Control Systems ; Computer Science
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000510941100001
资助机构	National 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
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/28566]
专题	离退休人员
通讯作者	Liu, Zhi
作者单位	1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 2.Dalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China 3.Univ Macau, Fac Sci & Technol, Macau 999078, Peoples R China 4.Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China
推荐引用方式 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.