DocumentCode
2524615
Title
Feedforward feedback nearly optimal compensatory control for a class of nonlinear systems
Author
Wang, Xia ; Dong, Rui ; Sun, Liang ; Liu, Chun-Lin
Author_Institution
Dept. of Electr. Eng. & Inf. Technol., Shandong Univ. of Sci. & Technol., Jinan, China
fYear
2011
fDate
23-25 May 2011
Firstpage
3915
Lastpage
3920
Abstract
This paper considers an optimal control for a class of nonlinear systems with respect to linear quadratic functional. A nearly feedforward feedback optimal compensatory control strategy is proposed. By introducing the successive approximation approach of the nonlinear differential equation theory, a linear two-point boundary value problem sequence is constructed to approximate the nonlinear two-point boundary value problem, which is the necessary condition of the nonlinear control problem. By iteratively solving this approximating linear sequence, optimal control law composed of a linear feedback compensatory term and a feedforward compensatory term is designed. An algorithm is presented to design certain qualified nearly optimal control law by truncating the infinite iteration. An illustrative example shows the validity of the algorithm.
Keywords
approximation theory; boundary-value problems; control system synthesis; feedback; feedforward; linear quadratic control; nonlinear control systems; nonlinear differential equations; approximation approach; feedforward compensatory term; feedforward feedback control; linear feedback compensatory term; linear quadratic functional; linear two-point boundary value problem sequence; nonlinear control problem; nonlinear differential equation theory; nonlinear system; optimal compensatory control; optimal control law; Approximation methods; Boundary value problems; Feedforward neural networks; Field-flow fractionation; Nonlinear systems; Optimal control; Riccati equations; Nonlinear Systems; Optimal Control; Successive Approximation Approach; Two-Point Boundary Value Problem;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location
Mianyang
Print_ISBN
978-1-4244-8737-0
Type
conf
DOI
10.1109/CCDC.2011.5968905
Filename
5968905
Link To Document