Exact Penalty Functions for Optimal Control Problems I: Main Theorem and Free-Endpoint Problems
arXiv:1903.00236 · doi:10.1002/oca.2530
Abstract
In this two-part study we develop a general approach to the design and analysis of exact penalty functions for various optimal control problems, including problems with terminal and state constraints, problems involving differential inclusions, as well as optimal control problems for linear evolution equations. This approach allows one to simplify an optimal control problem by removing some (or all) constraints of this problem with the use of an exact penalty function, thus allowing one to reduce optimal control problems to equivalent variational problems, apply numerical methods for solving, e.g. problems without state constraints, to problems including such constraints, etc. In the first part of our study we strengthen some existing results on exact penalty functions for optimisation problems in infinite dimensional spaces and utilise them to study exact penalty functions for free-endpoint optimal control problems, which reduce these problems to equivalent variational ones. We also prove several auxiliary results on integral functionals and Nemytskii operators that are helpful for verifying the assumptions under which the proposed penalty functions are exact.
References in corpus (4)
Cited by in corpus (4)
- Exact penalty functions with multidimensional penalty parameter and adaptive penalty updates
- Exact Penalty Functions for Optimal Control Problems II: Exact Penalisation of Terminal and Pointwise State Constraints
- Exact augmented Lagrangians for constrained optimization problems in Hilbert spaces I: Theory
- Codifferentials and Quasidifferentials of the Expectation of Nonsmooth Random Integrands and Two-Stage Stochastic Programming