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