DocumentCode :
2646149
Title :
A new algorithm for real-time optimization of constrained nonlinear control systems
Author :
Imae, Joe ; Ogino, Jun ; Kobayashi, Tomoaki ; Zhai, Guisheng
Author_Institution :
Dept. of Mech. Eng., Osaka Prefecture Univ.
fYear :
2006
fDate :
4-6 Oct. 2006
Firstpage :
1977
Lastpage :
1982
Abstract :
When it comes to the real-time optimization of nonlinear control systems, model predictive control (MPC) and state-dependent Riccati equation (SDRE) methods are known to be effective and reliable. In this paper, we propose a new type of real-time control method for constrained nonlinear systems and demonstrate by some numerical simulations that the proposed method is also effective and reliable. In addition, by using our method, we show that there is a certain kind of relationship between the MPC and SDRE methods
Keywords :
Riccati equations; constraint theory; nonlinear control systems; optimisation; predictive control; constrained nonlinear control systems; model predictive control; real-time control; real-time optimization; state-dependent Riccati equation; Constraint optimization; Nonlinear control systems; Nonlinear equations; Nonlinear systems; Numerical simulation; Optimization methods; Predictive control; Predictive models; Real time systems; Riccati equations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006 IEEE
Conference_Location :
Munich
Print_ISBN :
0-7803-9797-5
Electronic_ISBN :
0-7803-9797-5
Type :
conf
DOI :
10.1109/CACSD-CCA-ISIC.2006.4776943
Filename :
4776943
Link To Document :
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