会议论文

Pan, Yongping

英文

PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016

2161-2927

2016

1610-1615

35th Chinese Control Conference (CCC)

Chinese Control Conference

JUL 27-29, 2016

Chengdu, PEOPLES R CHINA

[Pan, Yongping;Yu, Haoyong] Natl Univ Singapore, Dept Biomed Engn, Singapore 117583, Singapore.^[Pan, Lin] Univ Luxembourg, Interdisciplinary Ctr Secur Reliabil & Trust, Luxembourg, Luxembourg.^[Pan, Lin] Wuhan Polytech Univ, Sch Elect & Elect Engn, Wuhan 430023, Peoples R China.^[Darouach, Mohamed] Univ Lorraine, Res Ctr Automat Control Nancy CRAN, CNRS, UMR 7039, Nancy, France.

Chinese Assoc Automat, Tech Comm Control Theory, Syst Engn Soc China, SW Jiaotong Univ, Chinese Acad Sci, Acad Math & Syst Sci, China Soc Indu & Appl Math, Univ Elect Sci & Technol China, Sichuan Univ, Asian Control Assocn, IEEE Control Syst Soc, Inst Control Robot & Syst, Soc Instrument & Control Engineers, Sichuan Soc Automat & Instrument

Chen, J Zhao, Q

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-9-8815-6391-0

supported in part by the Biomedical Engineering Programme,Agency for Science,Technology and Research(A*STAR),Singapore under Grant 1421480015;in part by AFR and FNR programs,Luxembourg

本校为其他机构

Parameter convergence is desirable in adaptive control as it brings several attractive features, including accurate online identification, exponential tracking and robust adaptation without parameter drift. However, a strong persistent-excitation (PE) condition has to be satisfied to guarantee parameter convergence in the conventional adaptive control. This paper proposes a novel composite learning technique to guarantee parameter convergence without the PE condition for a class of affine nonlinear systems with parametric uncertainties. In the composite learning, a time-interval integral is ut...