Composite Adaptive Control of Uncertain Nonlinear Systems Using Immersion and Invariance Method
文献类型：会议论文
| 作者 | Liu, Zhen1 ; Han, Chao1,2; Yuan, Ruyi1; Fan, Guoliang1; Yi, Jianqiang1
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| 出版日期 | 2017-08 |
| 会议日期 | August 6-9 |
| 会议地点 | Takamatsu, Japan |
| 页码 | 1144–1149 |
| 英文摘要 |
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. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/15376]  |
| 专题 | 自动化研究所_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 | Liu, Zhen,Han, Chao,Yuan, Ruyi,et al. Composite Adaptive Control of Uncertain Nonlinear Systems Using Immersion and Invariance Method[C]. 见:. Takamatsu, Japan. August 6-9. |
入库方式： OAI收割
来源：自动化研究所
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