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Reduced-Order Filters-Based Adaptive Backstepping Control for Perturbed Nonlinear Systems
Zhang, Zhengqiang1,2; Wang, Qiufeng1; Ge, Shuzhi Sam3,4; Zhang, Yanjun5
2021-02-05
发表期刊IEEE TRANSACTIONS ON CYBERNETICS
ISSN2168-2267
页码11
摘要In this article, a robust adaptive output-feedback control approach is presented for a class of nonlinear output-feedback systems with parameter uncertainties and time-varying bounded disturbances. A reduced-order filter driven by control input is proposed to reconstruct unmeasured states. The state estimation error is shown to be bounded by dynamic signals driven by system output. The bound estimation technique is employed to estimate the unknown disturbance bound. Based on the backstepping design with three sets of tuning functions, an adaptive output-feedback control scheme with the flat-zone modification is proposed. It is shown that all the signals in the resulting closed-loop adaptive control systems are bounded, and the output tracking error converges to a prespecified small neighborhood of the origin. Two simulation examples are provided to illustrate the effectiveness and validity of the proposed approach.
关键词Backstepping Adaptive control Nonlinear systems Tuning Electronic mail State estimation Standards Adaptive control backstepping disturbances nonlinear systems
DOI10.1109/TCYB.2021.3049786
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[61873330] ; National Natural Science Foundation of China[61803226] ; Taishan Scholarship Project of Shandong Province[tsqn20161032] ; Central Government Guides Local Funds for Science and Technology Development of Shandong Province[YDZX20203700001633]
WOS研究方向Automation & Control Systems ; Computer Science
WOS类目Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号WOS:000732312800001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/59719
专题中国科学院数学与系统科学研究院
通讯作者Zhang, Zhengqiang
作者单位1.Qufu Normal Univ, Sch Engn, Rizhao 276826, Peoples R China
2.Rizhao Huilian Zhongchuang Inst Intelligent Techn, Intelligent Control Lab, Rizhao 276826, Peoples R China
3.Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117576, Singapore
4.Qingdao Univ, Inst Future, Qingdao 266071, Peoples R China
5.Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China
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GB/T 7714
Zhang, Zhengqiang,Wang, Qiufeng,Ge, Shuzhi Sam,et al. Reduced-Order Filters-Based Adaptive Backstepping Control for Perturbed Nonlinear Systems[J]. IEEE TRANSACTIONS ON CYBERNETICS,2021:11.
APA Zhang, Zhengqiang,Wang, Qiufeng,Ge, Shuzhi Sam,&Zhang, Yanjun.(2021).Reduced-Order Filters-Based Adaptive Backstepping Control for Perturbed Nonlinear Systems.IEEE TRANSACTIONS ON CYBERNETICS,11.
MLA Zhang, Zhengqiang,et al."Reduced-Order Filters-Based Adaptive Backstepping Control for Perturbed Nonlinear Systems".IEEE TRANSACTIONS ON CYBERNETICS (2021):11.
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