In this paper, we derive the so-called Chebyshev-Legendre method for a class of optimal control problems governed by ordinary differential equations. We use Legendre expansions to approximate the control and state functions and we employ the Chebyshev-Gauss-Lobatto (CGL) points as the interpolating points. Thus the unknown variables of the equivalent nonlinear programming problems are the coefficients of the Legendre expansions of both the state and the control functions. We evaluate the function values at the CGL nodes via the fast Legendre transform. In this way, the fast Legendre transform can be utilized to save CPU calculation time. Some numerical examples are given to illustrate the applicability and high accuracy of the Chebyshev-Legendre method in solving a wide class of optimal control problem.
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Department of Mathematics, Gomal University, 29100 Dera Ismail Khan, PakistanDepartment of Mathematics, Gomal University, 29100 Dera Ismail Khan, Pakistan
Rashid, Abdur
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Abbas, Muhammad
Ismail, Ahmad Izani Md.
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School of Mathematical Sciences, Universiti Sains Malaysia, 11800 USM Penang, MalaysiaDepartment of Mathematics, Gomal University, 29100 Dera Ismail Khan, Pakistan
Ismail, Ahmad Izani Md.
Majid, Ahmad Abd
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School of Mathematical Sciences, Universiti Sains Malaysia, 11800 USM Penang, MalaysiaDepartment of Mathematics, Gomal University, 29100 Dera Ismail Khan, Pakistan
机构:
Department of Mathematics, Gomal University, Dera Ismail Khan,29100, PakistanDepartment of Mathematics, Gomal University, Dera Ismail Khan,29100, Pakistan
Rashid, Abdur
论文数: 引用数:
h-index:
机构:
Abbas, Muhammad
Ismail, Ahmad Izani Md.
论文数: 0引用数: 0
h-index: 0
机构:
School of Mathematical Sciences, Universiti Sains Malaysia, USM Penang,11800, MalaysiaDepartment of Mathematics, Gomal University, Dera Ismail Khan,29100, Pakistan
Ismail, Ahmad Izani Md.
Majid, Ahmad Abd
论文数: 0引用数: 0
h-index: 0
机构:
School of Mathematical Sciences, Universiti Sains Malaysia, USM Penang,11800, MalaysiaDepartment of Mathematics, Gomal University, Dera Ismail Khan,29100, Pakistan