DocumentCode
2006168
Title
Nonlinear Optimal Control for Parameter-Dependent Polynomial Nonlinear Systems
Author
Zhao, Dan ; Wang, Jian Liang ; Liao, Fang ; Poh, Eng Kee
Author_Institution
Nanyang Technol. Univ., Singapore
fYear
2007
fDate
May 30 2007-June 1 2007
Firstpage
1710
Lastpage
1715
Abstract
In this paper, we address the nonlinear optimal control problem for parameter-dependent nonlinear systems with polynomial vector fields. Based on the state dependent coefficient form, sufficient conditions to guarantee the closed-loop stability and bounded performance index are presented as state dependent linear matrix inequalities, which can be formulated as sum-of-squares based conditions and solved by semidefinite programming. A parameter-dependant Lyapunov function is adopted to reduce the conservativeness of the controller design.
Keywords
Lyapunov methods; closed loop systems; control system synthesis; linear matrix inequalities; nonlinear control systems; optimal control; polynomial approximation; stability; closed-loop stability; controller design; linear matrix inequalities; nonlinear optimal control; parameter-dependant Lyapunov function; parameter-dependent polynomial nonlinear systems; performance index; polynomial vector fields; semidefinite programming; state dependent coefficient form; sum-of-squares based conditions; Linear matrix inequalities; Linear programming; Lyapunov method; Nonlinear systems; Optimal control; Performance analysis; Polynomials; Stability; Sufficient conditions; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-4244-0818-4
Electronic_ISBN
978-1-4244-0818-4
Type
conf
DOI
10.1109/ICCA.2007.4376653
Filename
4376653
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