Robust Adaptive Control for a Class of Nonlinear Systems Based on Interval Type-2 Fuzzy Logic System and Small Gain Approach | |
Tao Xinlong1,2; Yi Jianqiang1,2; Tan Xiangmin2; Liu Zhen2; Han Chao1,2 | |
2018 | |
会议日期 | June 27-29, 2018 |
会议地点 | Wisconsin Center, Milwaukee, USA |
英文摘要 | 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. |
会议录出版者 | Institute of Electrical and Electronics Engineers Inc |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/23654] |
专题 | 自动化研究所_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 |
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]. 见:. Wisconsin Center, Milwaukee, USA. June 27-29, 2018. |
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