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
fDate :
May 30 2007-June 1 2007
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;
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
DOI :
10.1109/ICCA.2007.4376653