Title :
Multi-objective Robust Model Predictive Control: Trajectory Tracking Problem Through LMI Formulation
Author :
Feng, Le ; Wang, Jianliang ; Poh, Engkee ; Liao, Fang
Author_Institution :
Norwegian Univ. of Sci. & Technol., Trondheim
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.
Keywords :
closed loop systems; linear matrix inequalities; predictive control; robust control; uncertain systems; LMI formulation; closed-loop stability; multi-objective robust model predictive control; polytopic uncertainty; trajectory tracking; zero steady state tracking error; Cities and towns; Constraint optimization; Linear matrix inequalities; Predictive control; Predictive models; Robust control; Stability; Symmetric matrices; Trajectory; Uncertainty; Asymmetric input constraints; H performance; H2 performance; Linear Matrix Inequality; Model predictive control; Multi-objective;
Conference_Titel :
American Control Conference, 2007. ACC '07
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0988-8
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2007.4282299
