DocumentCode :
2564182
Title :
Optimal control for nonlinear similar composite systems: an improved successive approximation approach
Author :
Sun, Liang ; Wang, Hai-Hong
Author_Institution :
Center for Control & Optimization, South China Univ. of Technol., Guangzhou
fYear :
2008
fDate :
2-4 July 2008
Firstpage :
3094
Lastpage :
3099
Abstract :
This paper investigates the optimal control problem for a class of nonlinear composite systems. A decomposition method is first employed to transform the nonlinear composite system into certain affine nonlinear system. And then by introducing an improved successive approximation approach, approximating sequence of linear homogeneous two-point boundary value problems is constructed to approximate the nonlinear two-point boundary value problem that is the necessary condition of the optimal control problem. Solving the approximating sequence iteratively, an optimal control law of closed-loop linear feedback form is obtained. And the convergence is proved. An algorithm designing nearly optimal control law for practical applications is proposed. And Simulation example shows its validity.
Keywords :
approximation theory; boundary-value problems; closed loop systems; control system synthesis; convergence; feedback; iterative methods; large-scale systems; nonlinear systems; optimal control; affine nonlinear system; closed-loop system; control design; convergence; decomposition method; feedback; iterative solution; linear homogeneous two-point boundary value problem; nonlinear similar composite systems; optimal control; successive approximation approach; Automatic control; Bismuth; Boundary value problems; Control systems; Educational institutions; Interconnected systems; Nonlinear control systems; Optimal control; Paper technology; Riccati equations; composite systems; nonlinear systems; optimal control; successive approximation approach;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
Type :
conf
DOI :
10.1109/CCDC.2008.4597895
Filename :
4597895
Link To Document :
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