DocumentCode :
2250657
Title :
Observer base linear quadratic regulation with estimated state feedback control
Author :
Hwang, Chi-kuang ; Huang, Kun-shu ; Lin, Kuo-bin ; Lee, Bore-kuen
Author_Institution :
Dept. of Electr. Eng., Chung Hua Univ., Hsinchu, Taiwan
Volume :
6
fYear :
2010
fDate :
11-14 July 2010
Firstpage :
2802
Lastpage :
2805
Abstract :
For the continuous infinite horizon time-invariant linear quadratic regulator problem (LQR), in the paper, the optimal state feedback controller based on the estimated state of the observer can be decoupled by the proposed approach which resulting one continuous time algebraic Riccati equation (CARE) for the controller design and one matrix equality equation (MEE) for the observer design. A coupling term related the CARE of the controller is found to be existed in the MEE of the observer. Unlike the separate principle to design the controller and observer separately without any coupling term, the design of the observer should consider the coupling term related to the CARE of the controller. The coupling problem between the controller and the observer usually exists in the linear matrix inequality (LMI) approach, and it is the main problem to be solved. The two-stage scheme is popular in the LMI approach, and the proposed method is similar to it, but adopting equality instead of inequality.
Keywords :
Riccati equations; control system synthesis; infinite horizon; linear matrix inequalities; linear quadratic control; observers; state feedback; CARE; continuous infinite horizon time-invariant; continuous time algebraic Riccati equation; controller design; linear matrix inequality; linear quadratic regulator problem; matrix equality equation; observer base linear quadratic regulation; observer design; optimal state feedback controller; Couplings; Equations; Filtering; Irrigation; Observers; Reliability theory; State feedback; ARE; LQR; Observer base; Two-Stage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
Type :
conf
DOI :
10.1109/ICMLC.2010.5580791
Filename :
5580791
Link To Document :
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