Please use this identifier to cite or link to this item: https://doi.org/10.1109/ACC.2007.4282299
Title: Multi-objective Robust model predictive control: Trajectory tracking problem through LMI formulation
Authors: Feng, L.
Wang, J.
Poh, E.
Liao, F. 
Keywords: Asymmetric input constraints
H 2 performance
H∞ performance
Linear matrix inequality
Model predictive control
Multi-objective
Issue Date: 2007
Citation: Feng, L.,Wang, J.,Poh, E.,Liao, F. (2007). Multi-objective Robust model predictive control: Trajectory tracking problem through LMI formulation. Proceedings of the American Control Conference : 5589-5594. ScholarBank@NUS Repository. https://doi.org/10.1109/ACC.2007.4282299
Abstract: This paper proposed a novel LMI based robust multi-objective model predictive control technique. Such technique can be used to solve a trajectory tracking problem. The system is supposed to have polytopic uncertainty and subjected to asymmetric input constraints. With the proposed approach, we can guarantee the closed-loop stability and zero steady state tracking error. Finally, a canonical numerical example is used to illustrate the effectiveness. © 2007 IEEE.
Source Title: Proceedings of the American Control Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/111610
ISBN: 1424409888
ISSN: 07431619
DOI: 10.1109/ACC.2007.4282299
Appears in Collections:Staff Publications

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