Robustness of Operational Matrices of Differentiation for Solving State-Space Analysis and Optimal Control Problems

被引:11
|
作者
Tohidi, Emran [1 ]
Soleymani, F. [1 ]
Kilicman, Adem [2 ]
机构
[1] Islamic Azad Univ, Dept Math, Zahedan Branch, Zahedan, Iran
[2] Univ Putra Malaysia, Dept Math, Serdang 43400, Malaysia
关键词
APPROXIMATE SOLUTION; INTEGRAL-EQUATIONS; SPECTRAL METHOD; SERIES APPROACH; SYSTEMS;
D O I
10.1155/2013/535979
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The idea of approximation by monomials together with the collocation technique over a uniform mesh for solving state-space analysis and optimal control problems (OCPs) has been proposed in this paper. After imposing the Pontryagins maximum principle to the main OCPs, the problems reduce to a linear or nonlinear boundary value problem. In the linear case we propose a monomial collocation matrix approach, while in the nonlinear case, the general collocation method has been applied. We also show the efficiency of the operational matrices of differentiation with respect to the operational matrices of integration in our numerical examples. These matrices of integration are related to the Bessel, Walsh, Triangular, Laguerre, and Hermite functions.
引用
收藏
页数:9
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