DocumentCode
3572779
Title
Multi-objective MPC of constrained nonlinear systems: A dual-mode tracking control approach
Author
Defeng He ; Lei Wang ; Quanpeng Zhang
Author_Institution
Coll. of Inf. Eng., Zhejiang Univ. of Technol., Zhangzhou, China
fYear
2014
Firstpage
1705
Lastpage
1710
Abstract
In this paper, a new multi-objective model predictive control (MPC) algorithm is proposed for multi-objective control of constrained nonlinear systems. Due to the conflict of multiple objectives, the desired costs and compromise solutions of these objectives are first computed. Then a dual-mode tracking control law of control Lyapunov functions is constructed to design the multi-objective MPC controller with guaranteed closed-loop stability. Finally, an example of multi-objective control of CSTR is used to illustrate the effectiveness of the presented MPC algorithm.
Keywords
Lyapunov methods; closed loop systems; nonlinear control systems; predictive control; stability; closed-loop stability; constrained nonlinear systems; control Lyapunov functions; dual-mode tracking control approach; multiobjective MPC; multiobjective model predictive control algorithm; Closed loop systems; Cost function; Nonlinear systems; Optimal control; Trajectory; Vectors; Dual-mode Control; Model predictive control; Multi-objective control; Nonlinear systems; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
Type
conf
DOI
10.1109/WCICA.2014.7052977
Filename
7052977
Link To Document