CASIA OpenIR  > 综合信息系统研究中心
Composite Adaptive Control of Uncertain Nonlinear Systems Using Immersion and Invariance Method
Liu, Zhen1; Han, Chao1,2; Yuan, Ruyi1; Fan, Guoliang1; Yi, Jianqiang1
2017-08
会议名称2017 IEEE International Conference on Mechatronics and Automation
页码1144–1149
会议日期August 6-9
会议地点Takamatsu, Japan
摘要
The design of a novel composite adaptive control system for a class of uncertain systems using immersion and invariance (I&I) theory is presented. The interest here is to achieve a composite I&I adaptive control in the presence of model parametric uncertainties. Two sources of parameter information are combined for the parameter adaptation, which consists of tracking-error based adaptation law and prediction-error based adaptation law. Particularly, the tracking-error based adaptation law is constructed using I&I theory, which leads to a more flexible and effective design process of adaptation law. Stability analysis is presented using Lyapunov theory. Representative simulations are carried out on the mass-damper-spring system, which illustrate the superiority of the proposed composite I&I control scheme over the standard one.
收录类别EI
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/15376
专题综合信息系统研究中心
作者单位1.Institute of Automation, Chinese Academy of Sciences
2.University of Chinese Academy of Sciences
推荐引用方式
GB/T 7714
Zhen Liu, Chao Han, Ruyi Yuan, et al. Composite Adaptive Control of Uncertain Nonlinear Systems Using Immersion and Invariance Method[C]. in Proceedings of 2017 IEEE International Conference on Mechatronics and Automation. Takamatsu, Japan. August 6-9, 2017: 1144–1149.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
最终版-ICMA2017-刘振.pdf(812KB)会议论文 开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Liu, Zhen]的文章
[Han, Chao]的文章
[Yuan, Ruyi]的文章
百度学术
百度学术中相似的文章
[Liu, Zhen]的文章
[Han, Chao]的文章
[Yuan, Ruyi]的文章
必应学术
必应学术中相似的文章
[Liu, Zhen]的文章
[Han, Chao]的文章
[Yuan, Ruyi]的文章
相关权益政策
暂无数据
收藏/分享
文件名: 最终版-ICMA2017-刘振.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。