Robust Adaptive Control for a Class of Nonlinear Systems Based on Interval Type-2 Fuzzy Logic System and Small Gain Approach | |
Tao Xinlong1,2![]() ![]() ![]() ![]() ![]() | |
2018 | |
会议名称 | 2018 Annual American Control Conference (ACC 2018) |
会议日期 | June 27-29, 2018 |
会议地点 | Wisconsin Center, Milwaukee, USA |
出版者 | Institute of Electrical and Electronics Engineers Inc |
摘要 | In this paper, a novel robust adaptive control scheme for a class of uncertain nonlinear systems based on interval type-2 fuzzy logic system (IT2-FLS) and small gain approach is proposed. An interval type-2 Takagi-Sugeno-Kang fuzzy logic system (IT2-TSK-FLS) is employed to approximate the unknown dynamics of such a system. Based on the small gain theorem, a composite feedback form of the system is then established and a novel robust adaptive control law is developed, which can ensure all the signals in the close-loop system are uniformly ultimately bounded (UUB). Throughout the whole control scheme, only one parameter needs to be adapted online, which is different from most of existing IT2-FLSs. Numerical simulations demonstrate the robustness of our proposed scheme against uncertainties as well as the superiorities of IT2-TSK-FLS. |
收录类别 | EI |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/23654 |
专题 | 综合信息系统研究中心 |
作者单位 | 1.University of Chinese Academy of Sciences, Beijing 100049, China 2.Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Tao Xinlong,Yi Jianqiang,Tan Xiangmin,et al. Robust Adaptive Control for a Class of Nonlinear Systems Based on Interval Type-2 Fuzzy Logic System and Small Gain Approach[C]:Institute of Electrical and Electronics Engineers Inc,2018. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
20180207ACC-Robust A(434KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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