SIOM OpenIR  > 其他
Switching Control System Based on Robust Model Reference Adaptive Control
Hu Qiong; Fei Qing; Ma Hongbin; Wu Qinghe; Geng Qingbo; feiqing@bit.edu.cn
2016
Source PublicationJ. Syst. Sci. Complex.
Volume29Issue:4Pages:897
AbstractFor conventional adaptive control, time-varying parametric uncertainty and unmodeled dynamics are ticklish problems, which will lead to undesirable performance or even instability and nonrobust behavior, respectively. In this study, a class of discrete-time switched systems with unmodeled dynamics is taken into consideration. Moreover, nonlinear systems are here supposed to be approximated with the class of switched systems considered in this paper, and thereby switching control design is investigated for both switched systems and nonlinear systems to assure stability and performance. For robustness against unmodeled dynamics and uncertainty, robust model reference adaptive control (RMRAC) law is developed as the basis of controller design for each individual subsystem in the switched systems or nonlinear systems. Meanwhile, two different switching laws are presented for switched systems and nonlinear systems, respectively. Thereby, the authors incorporate the corresponding switching law into the RMRAC law to construct two schemes of switching control respectively for the two kinds of controlled systems. Both closed-loop analyses and simulation examples are provided to illustrate the validity of the two proposed switching control schemes. Furthermore, as to the proposed scheme for nonlinear systems, its potential for practical application is demonstrated through simulations of longitudinal control for F-16 aircraft.
SubtypeArticle
DOI10.1007/s11424-016-4223-4
Funding OrganizationDeep Exploration Technology and Experimentation Project [201311194-04]; National Natural Science Foundation of China [61321002, 61473038]; Beijing Outstanding Talents Programme [2012D009011000003]; Graduate Teaching/Innovation Funding of Beijing Institute ; Deep Exploration Technology and Experimentation Project [201311194-04]; National Natural Science Foundation of China [61321002, 61473038]; Beijing Outstanding Talents Programme [2012D009011000003]; Graduate Teaching/Innovation Funding of Beijing Institute ; Deep Exploration Technology and Experimentation Project [201311194-04]; National Natural Science Foundation of China [61321002, 61473038]; Beijing Outstanding Talents Programme [2012D009011000003]; Graduate Teaching/Innovation Funding of Beijing Institute ; Deep Exploration Technology and Experimentation Project [201311194-04]; National Natural Science Foundation of China [61321002, 61473038]; Beijing Outstanding Talents Programme [2012D009011000003]; Graduate Teaching/Innovation Funding of Beijing Institute
Indexed BySCI
Funding OrganizationDeep Exploration Technology and Experimentation Project [201311194-04]; National Natural Science Foundation of China [61321002, 61473038]; Beijing Outstanding Talents Programme [2012D009011000003]; Graduate Teaching/Innovation Funding of Beijing Institute ; Deep Exploration Technology and Experimentation Project [201311194-04]; National Natural Science Foundation of China [61321002, 61473038]; Beijing Outstanding Talents Programme [2012D009011000003]; Graduate Teaching/Innovation Funding of Beijing Institute ; Deep Exploration Technology and Experimentation Project [201311194-04]; National Natural Science Foundation of China [61321002, 61473038]; Beijing Outstanding Talents Programme [2012D009011000003]; Graduate Teaching/Innovation Funding of Beijing Institute ; Deep Exploration Technology and Experimentation Project [201311194-04]; National Natural Science Foundation of China [61321002, 61473038]; Beijing Outstanding Talents Programme [2012D009011000003]; Graduate Teaching/Innovation Funding of Beijing Institute
WOS IDWOS:000384985600003
Citation statistics
Document Type期刊论文
Identifierhttp://ir.siom.ac.cn/handle/181231/28775
Collection其他
Corresponding Authorfeiqing@bit.edu.cn
Affiliation中国科学院上海光学精密机械研究所
Recommended Citation
GB/T 7714
Hu Qiong,Fei Qing,Ma Hongbin,et al. Switching Control System Based on Robust Model Reference Adaptive Control[J]. J. Syst. Sci. Complex.,2016,29(4):897.
APA Hu Qiong,Fei Qing,Ma Hongbin,Wu Qinghe,Geng Qingbo,&feiqing@bit.edu.cn.(2016).Switching Control System Based on Robust Model Reference Adaptive Control.J. Syst. Sci. Complex.,29(4),897.
MLA Hu Qiong,et al."Switching Control System Based on Robust Model Reference Adaptive Control".J. Syst. Sci. Complex. 29.4(2016):897.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Hu Qiong]'s Articles
[Fei Qing]'s Articles
[Ma Hongbin]'s Articles
Baidu academic
Similar articles in Baidu academic
[Hu Qiong]'s Articles
[Fei Qing]'s Articles
[Ma Hongbin]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Hu Qiong]'s Articles
[Fei Qing]'s Articles
[Ma Hongbin]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.