Proc. SPIE. 8762, PIAGENG 2013: Intelligent Information, Control, and Communication Technology for Agricultural Engineering
KEYWORDS: Complex systems, Computing systems, Numerical simulations, Control systems, Computer science, Light sources and illumination, Direct methods, Systems modeling, Information science, Nonlinear control
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.