Please use this identifier to cite or link to this item: https://doi.org/10.1109/ACC.2009.5160035
Title: Adaptive asymptotic tracking control of a class of discrete-time nonlinear systems with parametric and nonparametric uncertainties
Authors: Yang, C.
Dai, S.-L.
Ge, S.S. 
Lee, T.H. 
Issue Date: 2009
Source: Yang, C., Dai, S.-L., Ge, S.S., Lee, T.H. (2009). Adaptive asymptotic tracking control of a class of discrete-time nonlinear systems with parametric and nonparametric uncertainties. Proceedings of the American Control Conference : 580-585. ScholarBank@NUS Repository. https://doi.org/10.1109/ACC.2009.5160035
Abstract: In this paper, adaptive control is studied for a class of nonlinear discrete-time systems in parameter-strict-feedback orm with both parametric and non-parametric uncertainties. The non-parametric uncertainty function is assumed to satisfy the Lipschitz condition. To achieve asymptotical tracking performance, estimation of both uncertainties is constructed. Future states are predicted to overcome the noncausal problem. Based on future states prediction and uncertainties estimation, a novel adaptive control is proposed. An augmented tracking error of equal growth order of the output tracking error is used in the parameter estimation law. The proposed adaptive control achieves asymptotical tracking performance and guarantees the boundedness of all closed-loop signals. The effectiveness of the proposed control law is demonstrated in the simulation. © 2009 AACC.
Source Title: Proceedings of the American Control Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/69157
ISBN: 9781424445240
ISSN: 07431619
DOI: 10.1109/ACC.2009.5160035
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