Necessary Optimality Conditions for Continuous-Time Optimization Problems with Equality and Inequality Constraints

The paper is devoted to obtain first and second order necessary optimality conditions for continuous-time optimization problems with equality and inequality constraints. A full rank type regularity condition along with an uniform implicit function theorem are used in order to establish such necessary conditions.Comment: 20 page

Contributions in the optimization theory for some infinite programming problems and continuous time programming problems

Orientador: Marko Antonio Rojas MedarTese (doutorado) - Universidade Estadual de Campinas. Instituto de Matematica, Estatistica e Computação CientificaResumo: Neste trabalho de tese são estudados dois tipos de problemas de otimização abstrata. O primeiro corresponde ao problema de programação in_nita. Tal problema consiste em minimizar um funcional sujeito a um número in_nito de restrições, onde as funções envolvidas são de_nidas em um espaço de Banach. O segundo diz respeito ao problema de programação com tempo contínuo, o qual consiste em minimizar um funcional, dado na forma integral, sujeito a um número _nito de restrições de desigualdade. Foram abordados os problemas mono e multi-objetivos. Os resultados estabelecidos fornecem condições de otimalidade para tais problemas. Condições su_cientes foram obtidas usando a noção de invexidade e também usando uma relaxação de invexidade, a KT-invexidade. Sob hipóteses de qualicação de restrição, KT-invexidade se torna também uma condição necessária de otimalidade. São também apresentados alguns resultados de dualidadeAbstract: In this thesis work it is regarded two type of abstract optimization problems. The _rst one corresponds to the in_nite programming problem. A such problem consists in minimizing a functional subject to an in_nite number of constraints, where the functions involved are dened in a Banach space. The second one is the continuous time programming problem, which consists in to minimize a functional, given in the integral form, subject to a _nite number of inequalities constraints. It were studied the mono and multi-objective problems. The established results furnish optimality conditions for these problems. Su_cient conditions were obtained using the notion of invexity and also a relaxation of invexity, the KT-invexity. Under constraint quali_cations assumptions, KT-invexity becomes also a necessary optimality condition. Some results about duality are also presented.DoutoradoDoutor em Matemática Aplicad

Dinâmica impulsiva: estabilidade e invariância

Neste trabalho abordamos sistemas dinâmicos controlados por medidas, onde as medidas podem ser pensadas como sendo variáveis de controle impulsivas. Mais especificamente, estudamos os Sistemas de Inclusão Impulsivos. Estes sistemas, que nos permitem trabalhar com dados não-suaves, possuem uma parte absolutamente contínua (chamada parte regular) e uma parte dependente de uma medida de Borel (chamada parte singular). Isto requer o uso de conceito diferente de solução, chamado de solução robusta. Apresentamos essa noção de solução robusta e fazemos também um estudo detalhado sobre estabilidade segundo Lyapounov e invariância para tais sistemas

Optimality conditions for infinite horizon control problems with state constraints

Necessary conditions of optimality in the form of a maximum principle are derived for state constrained optimal control problems with infinite horizon. A notable feature of our optimality conditions is the derivation of Michel's type transversality condition in the presence of state constraints. Under the usual interiority assumption for the vector field for large times, the strong transversality condition is also verified. (C) 2009 Elsevier Ltd. All rights reserved.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP

Description of the attainable sets of one-dimensional differential inclusions

The role played by the attainable set of a differential inclusion, in the study of dynamic control systems and fuzzy differential equations, is widely acknowledged. A procedure for estimating the attainable set is rather complicated compared to the numerical methods for differential equations. This article addresses an alternative approach, based on an optimal control tool, to obtain a description of the attainable sets of differential inclusions. In particular, we obtain an exact delineation of the attainable set for a large class of nonlinear differential inclusions

KT-invexity in optimal control problems

We extend the notion of KT-invexity from mathematical programming to the classical optimal control problem and show that this generalized invexity property is not only a sufficient condition of optimality for KT-processes (processes that obey KT-conditions below) but also a necessary condition. (C) 2009 Elsevier Ltd. All rights reserved.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP

A weak maximum principle for optimal control problems with mixed constraints under a constant rank condition

Necessary optimality conditions for optimal control problems with mixed state-control equality constraints are obtained. The necessary conditions are given in the form of a weak maximum principle and are obtained under (i) a new regularity condition for problems with mixed linear equality constraints and (ii) a constant rank type condition for the general non-linear case. Some instances of problems with equality and inequality constraints are also covered. Illustrative examples are presented3731021104

A note on KKT-invexity in nonsmooth continuous-time optimization

We introduce the notion of KKT-inverity for nonsmooth continuous-time nonlinear optimization problems and prove that this notion is a necessary and sufficient condition for every KKT solution to be a global optimal solution

Saddle Point and Second Order Optimality in Nondifferentiable Nonlinear Abstract Multiobjective Optimization

This article deals with a vector optimization problem with cone constraints in a Banach space setting. By making use of a real-valued Lagrangian and the concept of generalized subconvex-like functions, weakly efficient solutions are characterized through saddle point type conditions. The results, jointly with the notion of generalized Hessian (introduced in [Cominetti, R., Correa, R.: A generalized second-order derivative in nonsmooth optimization. SIAM J. Control Optim. 28, 789–809 (1990)]), are applied to achieve second order necessary and sufficient optimality conditions (without requiring twice differentiability for the objective and constraining functions) for the particular case when the functionals involved are defined on a general Banach space into finite dimensional ones.O artigo trata de um problema de otimização vetorial entre espaços de Banach com restrições envolvendo cones. Usando-se uma lagrangiana que toma valores escalares e o conceito de funções subconvexas generalizadas, soluções fracamente eficientes são caracterizadas por condições do tipo ponto de sela. Os resultados, em conjunto com a noção de Hessiana generalizada (introduzida em [R. Cominetti, R. Correa, A generalized second-order derivative in nonsmooth optimization, SIAM J. Control Optim., 28 (1990), 789–809]), são aplicados para se obter condições necessárias e suficientes de segunda ordem para o caso particular em que as funcionais envolvidas são definidas em um espaço de Banach geral mas com valores em espaços de dimensão finita (sem exigir que as funções objetivo e de restrições sejam duas vezes diferenciáveis)