Title: A novel algorithm of constrained multivariable fuzzy generalised predictive control for non-linear systems
Authors: Su Bai-Li, Chen Zeng-Qiang, Yuan Zhu-Zhi
Addresses: Department of Automation, Shanghai Jiaotong University, Shanghai 200240, PR China. ' Department of Automation, Nankai University, Tianjin 300071, PR China. ' Department of Automation, Nankai University, Tianjin 300071, PR China
Abstract: A constrained multivariable Generalised Predictive Control (GPC), which is based upon the T-S fuzzy model, is proposed for a class of non-linear systems. The proposed method can deal with the case of rate and amplitude constraints for the control signal with a way different from the classical constrained multivariable GPC, so the computation burden cut down with a degree and the control scheme can be used in the high speed sampled control systems. The simulation results demonstrate the effectiveness of the proposed algorithm.
Keywords: multivariable nonlinear systems; generalised predictive control; GT-S fuzzy models; constrained multivariable GPC; simulation; fuzzy logic.
DOI: 10.1504/IJMIC.2007.014624
International Journal of Modelling, Identification and Control, 2007 Vol.2 No.2, pp.120 - 129
Published online: 21 Jul 2007 *
Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article