19 March 2013 Iterative learning control for nonlinearly parameterized systems with unknown control direction
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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.
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Qiuzhen Yan, Qiuzhen Yan, Hongfa Wang, Hongfa Wang, Feng Yu, 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); doi: 10.1117/12.2019679; https://doi.org/10.1117/12.2019679
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