. In this paper the Chebyshev finite difference method is employed for finding the approximate solution of time varying constrained optimal control problems. This approach consists of reducing the optimal control problem to a nonlinear mathematical programming problem. To this end, the collocation points (Chebyshev Gauss-Lobatto nodes) are introduced then the state and control variables are approximated using special Chebyshev series with unknown parameters. The performance index is parameterized and the system dynamics and constraints are then replaced with a set of algebraic equations. Numerical examples are included to demonstrate the validity and applicability of the technique
This paper concerns with the solution of optimal control problems by means of nonlinear programming ...
AbstractThis paper presents a spectral method of solving the controlled Duffing oscillator. The meth...
By an appropriate discretization of control and state variables, a constrained optimal control probl...
A numerical algorithm based on a Chebyshev series expansion of control and state variables solves op...
The present work introduces a method to solve constrained nonlinear optimal control problems using s...
AbstractIn this paper we propose a computationally attractive numerical method for determining the o...
A Chebyshev-based state representation method is developed for solving optimal control problems invo...
Abstract — In this paper, a method for solving a class of nonlinear optimal control problems is pres...
This paper concerns with the solution of optimal control problems transcribed into nonlinear program...
A computationally attractive method for determining the optimal control of unconstrained linear dyna...
In this paper the quasilinearization technique along with the Chebyshev polynomials of the first typ...
AbstractThis paper presents a numerical solution for solving optimal control problems, and the contr...
In this paper, we derive an efficient Chebyshev algorithm for solving optimal control problems. The ...
The use of Chebyshev polynomials in solving finite horizon optimal control problems associated with ...
In this paper a numerical method for the solution of state-constrained optimal control problems is p...
This paper concerns with the solution of optimal control problems by means of nonlinear programming ...
AbstractThis paper presents a spectral method of solving the controlled Duffing oscillator. The meth...
By an appropriate discretization of control and state variables, a constrained optimal control probl...
A numerical algorithm based on a Chebyshev series expansion of control and state variables solves op...
The present work introduces a method to solve constrained nonlinear optimal control problems using s...
AbstractIn this paper we propose a computationally attractive numerical method for determining the o...
A Chebyshev-based state representation method is developed for solving optimal control problems invo...
Abstract — In this paper, a method for solving a class of nonlinear optimal control problems is pres...
This paper concerns with the solution of optimal control problems transcribed into nonlinear program...
A computationally attractive method for determining the optimal control of unconstrained linear dyna...
In this paper the quasilinearization technique along with the Chebyshev polynomials of the first typ...
AbstractThis paper presents a numerical solution for solving optimal control problems, and the contr...
In this paper, we derive an efficient Chebyshev algorithm for solving optimal control problems. The ...
The use of Chebyshev polynomials in solving finite horizon optimal control problems associated with ...
In this paper a numerical method for the solution of state-constrained optimal control problems is p...
This paper concerns with the solution of optimal control problems by means of nonlinear programming ...
AbstractThis paper presents a spectral method of solving the controlled Duffing oscillator. The meth...
By an appropriate discretization of control and state variables, a constrained optimal control probl...