Please use this identifier to cite or link to this item: https://doi.org/10.1002/rnc.1500
Title: Robust explicit model predictive control for linear systems via interpolation techniques
Authors: Sui, D.
Feng, L.
Ong, C.J. 
Hovd, M.
Keywords: Interpolated model predictive control
Interpolation
Linear constrained systems with bounded disturbances
Model predictive control
Multi-parametric programming
Issue Date: 10-Jul-2010
Source: Sui, D., Feng, L., Ong, C.J., Hovd, M. (2010-07-10). Robust explicit model predictive control for linear systems via interpolation techniques. International Journal of Robust and Nonlinear Control 20 (10) : 1166-1175. ScholarBank@NUS Repository. https://doi.org/10.1002/rnc.1500
Abstract: This paper presents a novel interpolation-based model predictive control (IMPC) for constrained linear systems with bounded disturbances. The idea of so-called 'pre-stabilizing' MPC is extended by making interpolation among several 'pre-stabilizing' MPC controllers, through which the domain of attraction can be magnificently enlarged. Compared with the standard 'prestabilizing' MPC, the proposed approach has the advantage of combining the merits of having a large domain of attraction and a good behavior. Furthermore, such an IMPC problem can be solved off-line by multi-parametric programming. The optimal solution is given in an explicitly piecewise affine form. A simple algorithm for the implementation of the explicit MPC control laws is also proposed. Copyright © 2009 John Wiley & Sons, Ltd.
Source Title: International Journal of Robust and Nonlinear Control
URI: http://scholarbank.nus.edu.sg/handle/10635/61245
ISSN: 10498923
DOI: 10.1002/rnc.1500
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