Abstract

In this paper, we focus on a new class of optimal control problems governed by a simple integral cost functional and isoperimetric-type constraints (constant level sets of some simple integral functionals). By using the notions of a variational differential system and adjoint equation, necessary optimality conditions are established for a feasible solution in the considered optimization problem. More precisely, under simplified hypotheses and using a modified Legendrian duality, we establish a maximum principle for the considered optimization problem.

Highlights

  • The optimal control theory is under continuous development

  • This theory is based on the optimization of some functionals with ordinary differential equations/partial differential equations constraints, all depending on the control functions

  • By using the concepts of a variational differential system, adjoint equation and a modified Legendrian duality, under simplified hypotheses, we establish a maximum principle for the considered optimal control problem

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Summary

Introduction

The optimal control theory is under continuous development This theory is based on the optimization of some functionals with ordinary differential equations/partial differential equations (in short, ODE/PDE) constraints, all depending on the control functions (for variational control problems with first-order PDE constraints, the reader is directed to Mititelu and Treanţă [1], Treanţă [2,3], and Treanţă and Arana-Jiménez [4,5]). Caputo (see [16,17]) has developed fundamental identities linking the optimal solution functions and optimal value functions for reciprocal pairs of isoperimetric control problems. By using the concepts of a variational differential system , adjoint equation and a modified Legendrian duality, under simplified hypotheses, we establish a maximum principle for the considered optimal control problem. For other ideas that are connected to this subject, the reader is directed to Evans [19], Kalaba and Spingarn [20,21], Lee and Markus [22], Barbu et al [23], van Brunt [24], and Treanţă [25,26]

Problem Formulation and Auxiliary Results
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