AbstractThis paper uses the exact penalty function method to transform a constrained optimal control problem into an unconstrained one and establishes an equivalence between the two problems in the "local" sense. Necessary and sufficient condi tions are obtained for a penalty function to be exact. This generalizes the result of Xing et al. (J. Optim. Control Appl. Methods10(2) (1989), 173-180) where only sufficient conditions are obtained. As a by-product, the relationship between a penalty function and a stationary point is also established
We introduce the concept of partially strictly monotone functions and apply it to construct a class ...
The main motivation of this paper is to weaken the conditions that imply the correspondence between ...
n this paper we define two classes of algorithms for the solution of constrained problems. The first...
AbstractThis paper uses the exact penalty function method to transform a constrained optimal control...
In this paper formal definitions of exactness for penalty functions are introduced and sufficient co...
. Exact penalty methods for the solution of constrained optimization problems are based on the const...
This paper is concerned with the generalization, numerical implementation and testing of the non-par...
In this paper, we consider a class of optimal control problems subject to equality terminal state co...
This paper introduces a new exact and smooth penalty function to tackle constrained min-max problems...
In this paper it is shown that, given a nonlinear programming problem with inequality constraints, i...
AbstractThe optimal control problem with general constraints is considered. This involves the calcul...
International audienceThis paper addresses the problem of solving a constrained optimal control for ...
In this paper, we consider a class of optimal control problems with free terminal time and continuou...
In this paper we consider a class of equality constrained optimization problems with box constraints...
In this paper we define a new continuously differentiable exact penalty function for the solution of...
We introduce the concept of partially strictly monotone functions and apply it to construct a class ...
The main motivation of this paper is to weaken the conditions that imply the correspondence between ...
n this paper we define two classes of algorithms for the solution of constrained problems. The first...
AbstractThis paper uses the exact penalty function method to transform a constrained optimal control...
In this paper formal definitions of exactness for penalty functions are introduced and sufficient co...
. Exact penalty methods for the solution of constrained optimization problems are based on the const...
This paper is concerned with the generalization, numerical implementation and testing of the non-par...
In this paper, we consider a class of optimal control problems subject to equality terminal state co...
This paper introduces a new exact and smooth penalty function to tackle constrained min-max problems...
In this paper it is shown that, given a nonlinear programming problem with inequality constraints, i...
AbstractThe optimal control problem with general constraints is considered. This involves the calcul...
International audienceThis paper addresses the problem of solving a constrained optimal control for ...
In this paper, we consider a class of optimal control problems with free terminal time and continuou...
In this paper we consider a class of equality constrained optimization problems with box constraints...
In this paper we define a new continuously differentiable exact penalty function for the solution of...
We introduce the concept of partially strictly monotone functions and apply it to construct a class ...
The main motivation of this paper is to weaken the conditions that imply the correspondence between ...
n this paper we define two classes of algorithms for the solution of constrained problems. The first...