DocumentCode :
2514281
Title :
Input-to-state stabilizing MPC for constrained nonlinear system with persistent disturbance
Author :
Shi, Donglin ; Mao, Zhizhong
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear :
2011
fDate :
23-25 May 2011
Firstpage :
1126
Lastpage :
1129
Abstract :
To guarantee both the robustness performance and the stability for a nonlinear system with persistent disturbance, a min-max nonlinear MPC scheme is designed in this paper. The terminal region and the terminal stable control law are computed off-line by transferring stable condition and the state/input constraints into a set of linear matrix inequalities and solving them. Furthermore, it is proved that the closed-loop system is input-to-state stable with relation to persistent disturbance. An example illustrates the good performance of the developed method.
Keywords :
closed loop systems; linear matrix inequalities; nonlinear control systems; stability; closed-loop system; constrained nonlinear system; input-to-state stabilizing MPC; linear matrix inequalities; min-max nonlinear MPC scheme; persistent disturbance; stability; terminal stable control law; Linear matrix inequalities; Nonlinear systems; Predictive control; Predictive models; Robustness; Stability analysis; Symmetric matrices; Disturbance; Input-to-state stability; Model predictive control; Nonlinear system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
Type :
conf
DOI :
10.1109/CCDC.2011.5968354
Filename :
5968354
Link To Document :
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