A dynamic programming approach to optimal pollution control under uncertain irrevesibility : the poisson case - Rennes School of Business Access content directly
Journal Articles Communications in Optimization Theory Year : 2023

A dynamic programming approach to optimal pollution control under uncertain irrevesibility : the poisson case

Raouf Boucekkine
  • Function : Author
  • PersonId : 1135093
Benteng Zou
  • Function : Author
  • PersonId : 914448

Abstract

We solve a bimodal control problem with a non-concavity and certainly through a Poisson process underlying the transition from a mode to another. We use a dynamic programming approach and are able to uncover the global optimal dynamics (including optimal non-monotonic paths) under a few linear-quadratic assumptions, which do not get rid of the non-concavity of the problem. This is in contrast to the related literature on pollution control under irreversibility which usually explores local dynamics along monotonic solution pahs to first-order Pontryagin conditions.
No file

Dates and versions

hal-04107276 , version 1 (26-05-2023)

Identifiers

  • HAL Id : hal-04107276 , version 1

Cite

Raouf Boucekkine, Weihua Ruan, Benteng Zou. A dynamic programming approach to optimal pollution control under uncertain irrevesibility : the poisson case. Communications in Optimization Theory, 2023. ⟨hal-04107276⟩
10 View
0 Download

Share

Gmail Mastodon Facebook X LinkedIn More