DocumentCode :
2848518
Title :
Optimal disturbance rejection for linear systems with delayed state and control
Author :
Yang, Xi-Xin ; Tang, Gong-You
Author_Institution :
Coll. of Inf. Sci. & Eng., Ocean Univ. of China, Qingdao, China
fYear :
2010
fDate :
26-28 May 2010
Firstpage :
1976
Lastpage :
1980
Abstract :
The optimal disturbance rejection for linear systems with delayed state and control under external disturbances is considered. By using the model transformation, the system with delayed state and control is transformed into a system with delayed state. Based on the internal model principle, a disturbance compensator is designed to reject the influence of external disturbances. An augmented system is constructed with the transformed system and the compensator. The problem of optimal disturbance rejection is solved by designing an optimal control law for the augmented system without disturbance. By using the successive approximation approach, the optimal control law is obtained which is consisting of an analytical linear state feedback term and a compensation term that is the limit of the iterative vector sequence. Simulation results demonstrate the effectiveness of the proposed approach.
Keywords :
delays; iterative methods; linear systems; optimal control; state feedback; vectors; analytical linear state feedback term; augmented system; compensation term; delayed state; disturbance compensator; external disturbance; internal model principle; iterative vector sequence; linear system; optimal control law; optimal disturbance rejection; successive approximation approach; Boundary value problems; Control systems; Delay effects; Delay lines; Delay systems; Linear systems; Optimal control; Riccati equations; State feedback; Vectors; Disturbance rejection; Internal model principle; Optimal control; Successive approximation approach; Time-delay;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
Type :
conf
DOI :
10.1109/CCDC.2010.5498863
Filename :
5498863
Link To Document :
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