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Proceedings Paper

Iterative learning control for nonlinearly parameterized systems with unknown control direction
Author(s): Qiuzhen Yan; Hongfa Wang; Feng Yu
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Paper Abstract

An iterative learning controller is presented for nonlinearly parameterized uncertain systems with unknown control direction. By using the parameter separation technique and the signal replacement mechanism, the system equation is reconstructed. By using the Nussbaum function, the proposed control laws can guarantee that all the signals in the closed-loop are bounded and the tracking error converges to zero over the entire interval. The numerical simulation is carried out to demonstrate effectiveness of the presented learning schemes.

Paper Details

Date Published: 19 March 2013
PDF: 7 pages
Proc. SPIE 8762, PIAGENG 2013: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 87620C (19 March 2013); doi: 10.1117/12.2019679
Show Author Affiliations
Qiuzhen Yan, Zhejiang Water Conservancy and Hydropower College (China)
Hongfa Wang, Zhejiang Water Conservancy and Hydropower College (China)
Feng Yu, Zhejiang Water Conservancy and Hydropower College (China)


Published in SPIE Proceedings Vol. 8762:
PIAGENG 2013: Intelligent Information, Control, and Communication Technology for Agricultural Engineering
Honghua Tan, Editor(s)

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