In this paper the quasilinearization technique along with the Chebyshev polynomials of the first type are used to solve the nonlinear-quadratic optimal control problem with terminal state constraints. The quasilinearization is used to convert the nonlinear quadratic optimal control problem into sequence of linear quadratic optimal control problems. Then by approximating the state and control variables using Chebyshev polynomials, the optimal control problem can be approximated by a sequence of quadratic programming problems. The paper presents a closed form solution that relates the parameters of each of the quadratic programming problems to the original problem parameters. To illustrate the numerical behavior of the proposed method, the so...
This paper develops a control parameterization approach for determining the (near) optimal trajector...
In this paper, we derive an efficient Chebyshev algorithm for solving optimal control problems. The ...
summary:In this paper, a new numerical method for solving the nonlinear constrained optimal control ...
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...
A numerical algorithm based on a Chebyshev series expansion of control and state variables solves op...
AbstractIn this paper we propose a computationally attractive numerical method for determining the o...
The present work introduces a method to solve constrained nonlinear optimal control problems using s...
A computationally attractive method for determining the optimal control of unconstrained linear dyna...
. In this paper the Chebyshev finite difference method is employed for finding the approximate solu...
A method for determining the optimal control of unconstrained and linearly constrained linear dynami...
In this paper a numerical method for the solution of state-constrained optimal control problems is p...
AbstractIn this paper, new and efficient algorithms for solving optimal control problems and the con...
In this paper we have studied the linear time invariance optimal control problems with quadratic per...
AbstractThis paper presents a spectral method of solving the controlled Duffing oscillator. The meth...
This paper develops a control parameterization approach for determining the (near) optimal trajector...
In this paper, we derive an efficient Chebyshev algorithm for solving optimal control problems. The ...
summary:In this paper, a new numerical method for solving the nonlinear constrained optimal control ...
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...
A numerical algorithm based on a Chebyshev series expansion of control and state variables solves op...
AbstractIn this paper we propose a computationally attractive numerical method for determining the o...
The present work introduces a method to solve constrained nonlinear optimal control problems using s...
A computationally attractive method for determining the optimal control of unconstrained linear dyna...
. In this paper the Chebyshev finite difference method is employed for finding the approximate solu...
A method for determining the optimal control of unconstrained and linearly constrained linear dynami...
In this paper a numerical method for the solution of state-constrained optimal control problems is p...
AbstractIn this paper, new and efficient algorithms for solving optimal control problems and the con...
In this paper we have studied the linear time invariance optimal control problems with quadratic per...
AbstractThis paper presents a spectral method of solving the controlled Duffing oscillator. The meth...
This paper develops a control parameterization approach for determining the (near) optimal trajector...
In this paper, we derive an efficient Chebyshev algorithm for solving optimal control problems. The ...
summary:In this paper, a new numerical method for solving the nonlinear constrained optimal control ...