Since Clarke's 1973 proof of the Hamiltonian inclusion for optimal control problems with convex velocity sets, there has been speculation (and, more recently, speculation relating to a stronger, partially convexified version of the Hamiltonian inclusion) as to whether these necessary conditions are valid in the absence of the convexity hypothesis. The issue was in part resolved by Clarke himself when, in 2005, he showed that $L^{\infty}$ local minimizers satisfy the Hamiltonian inclusion. In this paper it is shown, by counterexample, that the Hamiltonian inclusion (and so also the stronger partially convexified Hamiltonian inclusion) are not in general valid for nonconvex velocity sets when the local minimizer in question is merely a $W^{1,...
The minimum time function T(·) of smooth control systems is known to be locally semiconcave provide...
23 pages, 1 figureWe study the time optimal control problem with a general target $\mathcal S$ for a...
When a Hamiltonian H = H(t, x, p) is convex in the adjoint variable p, the corresponding Hamilton - ...
The thesis concerns some recent advances on necessary conditions for optimal control problems, payi...
Relaxation is a widely used regularization procedure in optimal control, involving the replacement o...
Abstract. We consider dynamic optimization problems for systems governed by differential inclusions....
In the classical calculus of variations, the Hamilton - Jacobi theory leads, under general hypothese...
AbstractWe prove the existence of periodic trajectories of Hamiltonian inclusions, which reduce to t...
AbstractOptimality conditions for differential inclusion problems, due to Kaskosz and Lojasiewicz, i...
Necessary conditions of optimality are derived for optimal control problems with pathwise state cons...
This article is devoted to the study of lower semicontinuous solutions of Hamilton-Jacobi equations ...
AbstractWe consider the Mayer optimal control problem with dynamics given by a nonconvex differentia...
Value functions propagated from initial or terminal costs and constraints by way of a differential o...
We apply the method of Hamilton shooting to obtain the well-posedness of boundary value problems for...
In this thesis, we will use some techniques developed in the frame of Optimal Control Theory and som...
The minimum time function T(·) of smooth control systems is known to be locally semiconcave provide...
23 pages, 1 figureWe study the time optimal control problem with a general target $\mathcal S$ for a...
When a Hamiltonian H = H(t, x, p) is convex in the adjoint variable p, the corresponding Hamilton - ...
The thesis concerns some recent advances on necessary conditions for optimal control problems, payi...
Relaxation is a widely used regularization procedure in optimal control, involving the replacement o...
Abstract. We consider dynamic optimization problems for systems governed by differential inclusions....
In the classical calculus of variations, the Hamilton - Jacobi theory leads, under general hypothese...
AbstractWe prove the existence of periodic trajectories of Hamiltonian inclusions, which reduce to t...
AbstractOptimality conditions for differential inclusion problems, due to Kaskosz and Lojasiewicz, i...
Necessary conditions of optimality are derived for optimal control problems with pathwise state cons...
This article is devoted to the study of lower semicontinuous solutions of Hamilton-Jacobi equations ...
AbstractWe consider the Mayer optimal control problem with dynamics given by a nonconvex differentia...
Value functions propagated from initial or terminal costs and constraints by way of a differential o...
We apply the method of Hamilton shooting to obtain the well-posedness of boundary value problems for...
In this thesis, we will use some techniques developed in the frame of Optimal Control Theory and som...
The minimum time function T(·) of smooth control systems is known to be locally semiconcave provide...
23 pages, 1 figureWe study the time optimal control problem with a general target $\mathcal S$ for a...
When a Hamiltonian H = H(t, x, p) is convex in the adjoint variable p, the corresponding Hamilton - ...