Multiplier methods for nonlinear optimal control
SIAM Journal on Numerical Analysis
SIAM Journal on Control and Optimization
Numerical solution of the controlled Duffing oscillator by the pseudospectral method
Journal of Computational and Applied Mathematics
Applied Mathematics and Computation
Pseudospectral Legendre-based optimal computation of nonlinear constrained variational problems
Journal of Computational and Applied Mathematics
Pseudospectral Chebyshev Optimal Control of Constrained Nonlinear Dynamical Systems
Computational Optimization and Applications
A Chebyshev expansion method for solving nonlinear optimal control problems
Applied Mathematics and Computation
Numerical solution of the controlled Duffing oscillator by hybrid functions
Applied Mathematics and Computation
Radial Basis Functions
A meshfree method for the numerical solution of the RLW equation
Journal of Computational and Applied Mathematics
Solving a system of nonlinear integral equations by an RBF network
Computers & Mathematics with Applications
Numerical solution of the nonlinear Klein-Gordon equation using radial basis functions
Journal of Computational and Applied Mathematics
Adaptive radial basis function methods for time dependent partial differential equations
Applied Numerical Mathematics
A kind of improved univariate multiquadric quasi-interpolation operators
Computers & Mathematics with Applications
International Journal of Computer Mathematics
Radial basis functions method for numerical solution of the modified equal width equation
International Journal of Computer Mathematics
Computers & Mathematics with Applications
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In this research, a new numerical method is applied to investigate the nonlinear controlled Duffing oscillator. This method is based on the radial basis functions (RBFs) to approximate the solution of the optimal control problem by using the collocation method. We apply Legendre-Gauss-Lobatto points for RBFs center nodes in order to use the numerical integration method more easily; then the method of Lagrange multipliers is used to obtain the optimum of the problems. For this purpose different applications of RBFs are used. The differential and integral expressions which arise in the dynamic systems, the performance index and the boundary conditions are converted into some algebraic equations which can be solved for the unknown coefficients. Illustrative examples are included to demonstrate the validity and applicability of the technique.