Title :
Stability analysis of output feedback receding horizon controller with Kalman-Bucy filter
Author :
Nakayama, Takayuki ; Fujimoto, Hideo
Author_Institution :
Nagoya Inst. of Technol., Nagoya
Abstract :
This paper proposed a model predictive controller with state observer for the system whose internal state can not be fully measured. The proposed controller is constructed by the combination of the receding horizon optimal regulator and the Kalman-Bucy type IIR state observer in the sense of the certainty equivalence principle. The stability of the controlled system is analyzed in the same way as the previous method proposed by Kwon et al. The stability conditions are given by Riccati differential inequality and Lyapunov differential inequality. The feasibility of the proposed method is shown by a simple numerical example.
Keywords :
IIR filters; Kalman filters; Lyapunov methods; Riccati equations; control system analysis; feedback; observers; predictive control; stability; IIR state observer; Kalman-Bucy filter; Lyapunov differential inequality; Riccati differential inequality; control system analysis; equivalence principle; model predictive controller; output feedback receding horizon controller; stability analysis; Control systems; Cost function; Finite impulse response filter; IIR filters; Optimal control; Output feedback; Predictive control; Predictive models; Stability analysis; State estimation;
Conference_Titel :
Decision and Control, 2007 46th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-1497-0
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2007.4435027