KMS Of Academy of mathematics and systems sciences, CAS
| 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 | |
| Source Publication | IEEE TRANSACTIONS ON CYBERNETICS
 |
| ISSN | 2168-2267 |
| Pages | 11 |
| Abstract | 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. |
| Keyword | Backstepping Adaptive control Nonlinear systems Tuning Electronic mail State estimation Standards Adaptive control backstepping disturbances nonlinear systems |
| DOI | 10.1109/TCYB.2021.3049786 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | 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 Research Area | Automation & Control Systems ; Computer Science |
| WOS Subject | Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics |
| WOS ID | WOS:000732312800001 |
| Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/59719 |
| Collection | 中国科学院数学与系统科学研究院 |
| Corresponding Author | Zhang, Zhengqiang |
| Affiliation | 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 |
| Recommended Citation 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. |
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment