Please use this identifier to cite or link to this item:
|Title:||Adaptive asymptotic tracking control of a class of discrete-time nonlinear systems with parametric and nonparametric uncertainties|
|Citation:||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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jul 17, 2018
WEB OF SCIENCETM
checked on Jun 27, 2018
checked on Jul 6, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.