This paper illustrates how nonlinear programming and simulation tools, which are available in packages such as MATLAB and SIMULINK, can easily be used to solve optimal control problems with state- and/or input-dependent inequality constraints. The method presented is illustrated with a model of a single-link manipulator. The method is suitable to be taught to advanced undergraduate and Master's level students in control engineering
AbstractNecessary conditions for the minimization of a differentiable function subject to differenti...
The paper presents a general procedure to solve nume‐ rically optimal control problems with state co...
In this thesis, we consider several types of optimal control problems with constraints on the state ...
This paper illustrates how nonlinear programming and simulation tools, which are available in packag...
This paper illustrates how nonlinear programming and simulation tools, which are available in packag...
In the last years, the nonlinear programming techniques have shown to be an effective approach to th...
Some economic models need constraints imposed on control and/or state-space constraints. In most cas...
Some economic models need constraints imposed on control and/or state-space constraints. In most cas...
Optimal control of nonlinear systems provides a major challenge in control engineering. Constraints ...
A numerical algorithm based on a Chebyshev series expansion of control and state variables solves op...
Optimal control of nonlinear systems provides a major challenge in control engineering. Constraints ...
Optimal control of nonlinear systems provides a major challenge in control engineering. Constraints ...
Optimal control of nonlinear systems provides a major challenge in control engineering. Constraints ...
Optimal control of nonlinear systems provides a major challenge in control engineering. Constraints ...
Optimal control of nonlinear systems provides a major challenge in control engineering. Constraints ...
AbstractNecessary conditions for the minimization of a differentiable function subject to differenti...
The paper presents a general procedure to solve nume‐ rically optimal control problems with state co...
In this thesis, we consider several types of optimal control problems with constraints on the state ...
This paper illustrates how nonlinear programming and simulation tools, which are available in packag...
This paper illustrates how nonlinear programming and simulation tools, which are available in packag...
In the last years, the nonlinear programming techniques have shown to be an effective approach to th...
Some economic models need constraints imposed on control and/or state-space constraints. In most cas...
Some economic models need constraints imposed on control and/or state-space constraints. In most cas...
Optimal control of nonlinear systems provides a major challenge in control engineering. Constraints ...
A numerical algorithm based on a Chebyshev series expansion of control and state variables solves op...
Optimal control of nonlinear systems provides a major challenge in control engineering. Constraints ...
Optimal control of nonlinear systems provides a major challenge in control engineering. Constraints ...
Optimal control of nonlinear systems provides a major challenge in control engineering. Constraints ...
Optimal control of nonlinear systems provides a major challenge in control engineering. Constraints ...
Optimal control of nonlinear systems provides a major challenge in control engineering. Constraints ...
AbstractNecessary conditions for the minimization of a differentiable function subject to differenti...
The paper presents a general procedure to solve nume‐ rically optimal control problems with state co...
In this thesis, we consider several types of optimal control problems with constraints on the state ...