On a certain type of discrete two-point boundary problem arising in discrete optimal control
On an optimization problem arising from probability density estimation.
Consideramos una clase de problemas de optimización que surgen en estimaciones de la densidad de datos en dimensión elevada a partir de proyecciones en subespacios de dimensión más baja. Los criterios que se usan para la selección óptima del modelo son máxima entropía y máxima verosimilitud. En cada caso nuestro planteamiento requiere estimadores de la densidad univariados y a este respecto exploramos el uso de modelos mezcla de densidades gaussianas y de estimadores de Parzen para los datos proyectados....
On necessary optimality conditions in a class of optimization problems
In the paper necessary optimality conditions are derived for the minimization of a locally Lipschitz objective with respect to the consttraints , where is a closed set and is a set-valued map. No convexity requirements are imposed on . The conditions are applied to a generalized mathematical programming problem and to an abstract finite-dimensional optimal control problem.
On the maximum principle for optimal control processes described by Hammerstein integral equations with weakly singular kernels
On the minimum time problem in linear discrete systems with the discrete set of admissible controls
On the quadratic optimal control problem for Volterra integro-differential equations
On the set of optimal controls for Markov chains with rewards
On the set-valued calculus in problems of viability and control for dynamic processes : the evolution equation
Optimal control in coefficients for elliptic variational inequalities and optimality conditions
Optimal control of stabilizable time-varying linear systems with time delay
Optimal control problems on parallelizable riemannian manifolds : theory and applications
The motivation for this work is the real-time solution of a standard optimal control problem arising in robotics and aerospace applications. For example, the trajectory planning problem for air vehicles is naturally cast as an optimal control problem on the tangent bundle of the Lie Group which is also a parallelizable riemannian manifold. For an optimal control problem on the tangent bundle of such a manifold, we use frame co-ordinates and obtain first-order necessary conditions employing calculus...
Optimal control problems on parallelizable Riemannian manifolds: theory and applications
The motivation for this work is the real-time solution of a standard optimal control problem arising in robotics and aerospace applications. For example, the trajectory planning problem for air vehicles is naturally cast as an optimal control problem on the tangent bundle of the Lie Group SE(3), which is also a parallelizable Riemannian manifold. For an optimal control problem on the tangent bundle of such a manifold, we use frame co-ordinates and obtain first-order necessary conditions...
Pontryagin's Maximum Principle and a Minimax Problem.
Pour une extension du principe du maximum de Pontrjagin
–convex transformability in nonlinear programming problems
We show that for -convex transformable nonlinear programming problems the Karush-Kuhn-Tucker necessary optimality conditions are also sufficient and we provide a method of solving such problems with the aid of associated -convex ones.
Singular Quadratic Functionals.
Smooth optimal synthesis for infinite horizon variational problems
We study Hamiltonian systems which generate extremal flows of regular variational problems on smooth manifolds and demonstrate that negativity of the generalized curvature of such a system implies the existence of a global smooth optimal synthesis for the infinite horizon problem. We also show that in the Euclidean case negativity of the generalized curvature is a consequence of the convexity of the Lagrangian with respect to the pair of arguments. Finally, we give a generic classification for...
State space synthesis of discrete linear systems
Sufficient conditions for infinite-horizon calculus of variations problems
After a brief survey of the literature about sufficient conditions, we give different sufficient conditions of optimality for infinite-horizon calculus of variations problems in the general (non concave) case. Some sufficient conditions are obtained by extending to the infinite-horizon setting the techniques of extremal fields. Others are obtained in a special qcase of reduction to finite horizon. The last result uses auxiliary functions. We treat five notions of optimality. Our problems are essentially motivated...
The quadratic criterion of control process quality using the exponential weighting function