Application of optimization algorithm to nonlinear fractional optimal control problems
محورهای موضوعی : Journal of Computer & Robotics
Asma Moradikashkooli
1
,
Hamid Haj Seyyed Javadi
2
,
Sam Jabbehdari
3
1 - Department of Computer Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran
2 - Department of Computer Engineering, Shahed University, Tehran, Iran
3 - Department of Computer Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran
کلید واژه: generalized Laguerre polynomials, Operational matrix, Optimization algorithm, Nonlinear fractional optimal control problems, Coefficients and parameters,
چکیده مقاله :
In this study, an optimization algorithm based on the generalized Laguerre polynomials (GLPs) as the basis functions and the Lagrange multipliers is presented to obtain approximate solution of nonlinear fractional optimal control problems. The Caputo fractional derivatives of GLPs is constructed. The operational matrices of the Caputo and ordinary derivatives are introduced. The established scheme transforms obtaining the solution of such problems into finding the solution of algebraic systems of equations by approximating the state and control variables using the mentioned basis functions. The method is very accurate and is computationally very attractive. Examples are included to provide the capacity of the proposal method.
In this study, an optimization algorithm based on the generalized Laguerre polynomials (GLPs) as the basis functions and the Lagrange multipliers is presented to obtain approximate solution of nonlinear fractional optimal control problems. The Caputo fractional derivatives of GLPs is constructed. The operational matrices of the Caputo and ordinary derivatives are introduced. The established scheme transforms obtaining the solution of such problems into finding the solution of algebraic systems of equations by approximating the state and control variables using the mentioned basis functions. The method is very accurate and is computationally very attractive. Examples are included to provide the capacity of the proposal method.
