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Robust nonlinear generalised predictive control for a class of uncertain nonlinear systems via an integral sliding mode approach

Content Provider	Scilit
Author	Errouissi, Rachid Yang, Jun Chen, Wen-Hua Al-Durra, Ahmed
Copyright Year	2016
Description	In this paper, a robust nonlinear generalised predictive control (GPC) method is proposed by combining an integral sliding mode approach. The composite controller can guarantee zero steady-state error for a class of uncertain nonlinear systems in the presence of both matched and unmatched disturbances. Indeed, it is well known that the traditional GPC based on Taylor series expansion cannot completely reject unknown disturbance and achieve offset-free tracking performance. To deal with this problem, the existing approaches are enhanced by avoiding the use of the disturbance observer and modifying the gain function of the nonlinear integral sliding surface. This modified strategy appears to be more capable of achieving both the disturbance rejection and the nominal prescribed specifications for matched disturbance. Simulation results demonstrate the effectiveness of the proposed approach.
Related Links	https://core.ac.uk/download/pdf/42485242.pdf https://repository.lboro.ac.uk/articles/Robust_nonlinear_generalised_predictive_control_for_a_class_of_uncertain_nonlinear_systems_via_an_integral_sliding_mode_approach/9226193/files/16805729.pdf
Ending Page	1710
Page Count	13
Starting Page	1698
ISSN	00207179
e-ISSN	13665820
DOI	10.1080/00207179.2016.1145356
Journal	International Journal of Control
Issue Number	8
Volume Number	89
Language	English
Publisher	Informa UK Limited
Publisher Date	2016-08-02
Access Restriction	Open
Subject Keyword	Journal: International Journal of Control Automotive Engineering Disturbance Rejection Integral Sliding Mode Control (ismc) Nonlinear Generalised Predictive Control (ngpc) Robustness Unmatched Disturbance
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Computer Science Applications

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