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Title: Robust nonlinear generalised predictive control for a class of uncertain nonlinear systems via an integral sliding mode approach
Authors: Errouissi, Rachid
Yang, Jun
Chen, Wen-Hua
Al-Durra, Ahmed
Keywords: Disturbance rejection
Integral sliding mode control (ISMC)
Nonlinear generalised predictive control (NGPC)
Unmatched disturbance
Issue Date: 2016
Publisher: © Taylor & Francis
Citation: ERROUISSI, R. ... et al., 2016. Robust nonlinear generalised predictive control for a class of uncertain nonlinear systems via an integral sliding mode approach. International Journal of Control, DOI: 10.1080/00207179.2016.1145356.
Abstract: 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.
Description: THIS DOCUMENT WILL REMAIN CLOSED ACCESS UNTIL 16/02/2017. This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Control on 15/02/2016, available online: http://dx.doi.org/10.1080/00207179.2016.1145356.
Version: Accepted for publication
DOI: 10.1080/00207179.2016.1145356
URI: https://dspace.lboro.ac.uk/2134/20890
Publisher Link: http://dx.doi.org/10.1080/00207179.2016.1145356
ISSN: 0020-7179
Appears in Collections:Closed Access (Aeronautical and Automotive Engineering)

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