Please use this identifier to cite or link to this item: https://doi.org/10.1109/ACC.2007.4282367
Title: Interpolated model predictive controller for linear systems with bounded disturbances
Authors: Sui, D.
Ong, C.J. 
Keywords: Interpolated model predictive control
Invariant set
Linear constrained systems with bounded disturbances
Issue Date: 2007
Source: Sui, D.,Ong, C.J. (2007). Interpolated model predictive controller for linear systems with bounded disturbances. Proceedings of the American Control Conference : 4458-4463. ScholarBank@NUS Repository. https://doi.org/10.1109/ACC.2007.4282367
Abstract: Interpolation techniques are known to reduce computational complexity of Model Predictive Control (MPC) [1], [2]. This paper presents the general interpolation based MPC (IMPC) for a constrained linear system with bounded disturbances. The resulting MPC control law comprises an interpolation between several single MPC control laws. Compared with single MPC control law implementations, the proposed approach has the advantage of combining the merits of having a large domain of attraction and good asymptotic behavior. The performances of the approach are presented via an example. © 2007 IEEE.
Source Title: Proceedings of the American Control Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/73547
ISBN: 1424409888
ISSN: 07431619
DOI: 10.1109/ACC.2007.4282367
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