DocumentCode :
2843086
Title :
Decentralized linear feedback optimal control of large-scale nonlinear systems
Author :
Sun, Liang ; Wang, Xia ; Fan, Ming-Qu
Author_Institution :
Dept. of Electr. Eng. & Inf. Technol., Shandong Univ. of Sci. & Technol., Jinan, China
fYear :
2010
fDate :
26-28 May 2010
Firstpage :
3529
Lastpage :
3534
Abstract :
Decentralized optimal control for large-scale nonlinear systems with respect to local performance criteria is considered. A decoupled linear Two-Point Boundary Value (TPBV) problem sequence is constructed to approximate the nonlinear coupling large-scale TPBV problem, which is the necessary condition of the nonlinear optimal control problem. We prove that the constructed linear TPBV problem sequence uniformly converges to the nonlinear TPBV problem. By iteratively solving this linear TPBV problem sequence, a decentralized linear feedback optimal control law is obtained. An algorithm is presented to design some qualified approximate optimal control law by using a finite iteration result. An illustrative example shows the validity of the algorithm.
Keywords :
decentralised control; feedback; linear systems; nonlinear systems; optimal control; decentralized linear feedback optimal control; decoupled linear two-point boundary value problem sequence; finite iteration; large-scale nonlinear systems; nonlinear optimal control problem; Control systems; Distributed control; Feedback; Iterative algorithms; Large-scale systems; Neural networks; Nonlinear equations; Nonlinear systems; Optimal control; Riccati equations; Decentralized control; Large-scale systems; Nonlinear systems; Optimal control;
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.2010.5498549
Filename :
5498549
Link To Document :
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