Skip to main content
We gratefully acknowledge support from the Simons Foundation, member institutions, and all contributors. Donate
arXiv logo
Cornell University Logo

Computer Science > Systems and Control

arXiv:1812.08066 (cs)
[Submitted on 19 Dec 2018 (v1), last revised 19 Mar 2019 (this version, v2)]

Title:Feedback, Dynamics, and Optimal Control in Climate Economics

Authors:Christopher M. Kellett, Steven R. Weller, Timm Faulwasser, Lars Grüne, Willi Semmler
View PDF
Abstract:For his work in the economics of climate change, Professor William Nordhaus was a co-recipient of the 2018 Nobel Memorial Prize for Economic Sciences. A core component of the work undertaken by Nordhaus is the Dynamic Integrated model of Climate and Economy, known as the DICE model. The DICE model is a discrete-time model with two control inputs and is primarily used in conjunction with a particular optimal control problem in order to estimate optimal pathways for reducing greenhouse gas emissions. In this paper, we provide a tutorial introduction to the DICE model and we indicate challenges and open problems of potential interest for the systems and control community.
Comments: 18 pages, 4 figures
Subjects: Systems and Control (eess.SY); Optimization and Control (math.OC)
Cite as: arXiv:1812.08066 [cs.SY]
  (or arXiv:1812.08066v2 [cs.SY] for this version)
  https://doi.org/10.48550/arXiv.1812.08066

Submission history

From: Timm Faulwasser [view email]
[v1] Wed, 19 Dec 2018 16:33:20 UTC (356 KB)
[v2] Tue, 19 Mar 2019 14:21:00 UTC (575 KB)
Full-text links:

Access Paper:

  • View PDF
  • TeX Source
  • Other Formats
view license
Current browse context:
eess.SY
< prev   |   next >
new | recent | 2018-12
Change to browse by:
cs
cs.SY
math
math.OC

References & Citations

DBLP - CS Bibliography

listing | bibtex
Christopher M. Kellett
Steven R. Weller
Timm Faulwasser
Lars Grüne
Willi Semmler
export BibTeX citation

Bookmark

BibSonomy logo Reddit logo

Bibliographic and Citation Tools

Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)

Code, Data and Media Associated with this Article

alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
Papers with Code (What is Papers with Code?)
ScienceCast (What is ScienceCast?)

Demos

Replicate (What is Replicate?)
Hugging Face Spaces (What is Spaces?)
TXYZ.AI (What is TXYZ.AI?)

Recommenders and Search Tools

Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)