caa a22 4500 445361522 CHVBK 20180317142916.0 cr unu---uuuuu 170323e20110701xx s 000 0 eng 10.1007/s11071-010-9874-4 doi (NATIONALLICENCE)springer-10.1007/s11071-010-9874-4 Adaptive neural output feedback control of nonlinear discrete-time systems [Elektronische Daten] [Guo-Xing Wen, Yan-Jun Liu, Shao-Cheng Tong, Xiao-Li Li] Based on the backstepping technique, an adaptive neural network (NN) based output feedback controller is proposed to achieve a desired tracking performance for a class of discrete-time nonlinear systems, which are represented in non-strict-feedback form. The neural networks are utilized to approximate unknown functions in the systems. The adaptive output feedback controller needs only to adjust less adaptive parameters, therefore it is clear that the proposed approach can reduce on-line computation burden. It is proven that all the signals in the closed-loop system are semi-global uniformly ultimately bounded (SGUUB) and the tracking error converges to a small neighborhood of zero by choosing the design parameters appropriately. A simulation example is used to verify the effectiveness of the proposed approach. Springer Science+Business Media B.V., 2010 Adaptive control nationallicence Uncertainty nationallicence Neural control nationallicence Nonlinear discrete-time systems nationallicence Wen Guo-Xing School of Sciences, Liaoning University of Technology, Jinzhou, 121001, Liaoning, China aut Liu Yan-Jun School of Sciences, Liaoning University of Technology, Jinzhou, 121001, Liaoning, China aut Tong Shao-Cheng School of Sciences, Liaoning University of Technology, Jinzhou, 121001, Liaoning, China aut Li Xiao-Li Department of Automation, School of Information and Engineering, University of Science and Technology Beijing, 100083, Beijing, China aut Nonlinear Dynamics Springer Netherlands 65/1-2(2011-07-01), 65-75 0924-090X 65:1-2<65 2011 65 11071 https://doi.org/10.1007/s11071-010-9874-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11071-010-9874-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Wen Guo-Xing School of Sciences, Liaoning University of Technology, Jinzhou, 121001, Liaoning, China aut NATIONALLICENCE 700 1- Liu Yan-Jun School of Sciences, Liaoning University of Technology, Jinzhou, 121001, Liaoning, China aut NATIONALLICENCE 700 1- Tong Shao-Cheng School of Sciences, Liaoning University of Technology, Jinzhou, 121001, Liaoning, China aut NATIONALLICENCE 700 1- Li Xiao-Li Department of Automation, School of Information and Engineering, University of Science and Technology Beijing, 100083, Beijing, China aut NATIONALLICENCE 773 0- Nonlinear Dynamics Springer Netherlands 65/1-2(2011-07-01), 65-75 0924-090X 65:1-2<65 2011 65 11071 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer