Title :
Adaptive dynamic programming for nonlinear nonaffine systems
Author :
Tao Bian ; Yu Jiang ; Zhong-Ping Jiang
Author_Institution :
Dept. of Electr. & Comput. Eng., New York Univ., New York, NY, USA
Abstract :
This paper studies the optimal control problem for continuous-time nonaffine nonlinear dynamic systems with unknown dynamics. By using adaptive dynamic programming (ADP) method, a non-model based optimal control design is given. The convergence analysis for the designed control scheme is presented. Finally, a numerical example is adopted to illustrate the effectiveness of the obtained algorithm.
Keywords :
adaptive control; continuous time systems; control system synthesis; convergence; dynamic programming; nonlinear dynamical systems; optimal control; ADP method; adaptive dynamic programming; continuous-time nonaffine nonlinear dynamic systems; convergence analysis; nonmodel based optimal control design; optimal control problem; unknown dynamics; Algorithm design and analysis; Approximation algorithms; Convergence; Function approximation; Heuristic algorithms; Optimal control;
Conference_Titel :
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-1-4799-7746-8
DOI :
10.1109/CDC.2014.7039949
