Paper
19 March 2013 Iterative learning control for nonlinearly parameterized systems with unknown control direction
Qiuzhen Yan, Hongfa Wang, Feng Yu
Author Affiliations +
Proceedings Volume 8762, PIAGENG 2013: Intelligent Information, Control, and Communication Technology for Agricultural Engineering; 87620C (2013) https://doi.org/10.1117/12.2019679
Event: Third International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2013), 2013, Sanya, China
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qiuzhen Yan, Hongfa Wang, and Feng Yu "Iterative learning control for nonlinearly parameterized systems with unknown control direction", Proc. SPIE 8762, PIAGENG 2013: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 87620C (19 March 2013); https://doi.org/10.1117/12.2019679
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KEYWORDS
Control systems

Complex systems

Computing systems

Numerical simulations

Systems modeling

Computer science

Direct methods

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