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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
Conference Name2018 Annual American Control Conference (ACC 2018)
Conference DateJune 27-29, 2018
Conference PlaceWisconsin Center, Milwaukee, USA
PublisherInstitute of Electrical and Electronics Engineers Inc
Abstract

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.

Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/23654
Collection综合信息系统研究中心
Affiliation1.University of Chinese Academy of Sciences, Beijing 100049, China
2.Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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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