Approximating the Solution of Optimal Control Problems by Fuzzy Systems

被引:17
|
作者
Pakdaman, Morteza [1 ,2 ]
Effati, Sohrab [1 ,2 ]
机构
[1] Ferdowsi Univ Mashhad, Dept Appl Math, Mashhad, Iran
[2] Ferdowsi Univ Mashhad, Ctr Excellence Soft Comp & Intelligent Informat P, Mashhad, Iran
关键词
Pontryagin minimum principle; Optimal control problem; Fuzzy system; VARIATIONAL ITERATION METHOD; CONSTRAINED OPTIMAL-CONTROL;
D O I
10.1007/s11063-015-9440-7
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, the ability of fuzzy systems is used to estimate the solution of crisp optimal control problems. To solve an optimal control problem, first the well-known Euler-Lagrange conditions are obtained and then, the solution of these conditions is approximated by defining a trial solution based on fuzzy systems. The parameters of fuzzy systems are adjusted by an optimization algorithm. Numerical examples and comparisons with exact solutions reveal the capability and accuracy of proposed method.
引用
收藏
页码:667 / 686
页数:20
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