Optimal control models: exploring the limits of predictive power
Dieter Graß ()
Additional contact information
Dieter Graß: Vienna University of Technology
Central European Journal of Operations Research, 2025, vol. 33, issue 2, No 17, 609-630
Abstract:
Abstract This paper examines the application of optimal control models across disciplines, highlighting both their strengths and limitations. While these models are valuable tools in biological and socio-economic contexts, their use requires careful consideration of inherent constraints. A key advantage of such models is their ability to facilitate structural analysis. The second part of the study focuses on the continuation algorithm and its role in understanding dynamic optimization. Through two examples, the paper illustrates this approach and emphasizes the need for a critical perspective, especially when modeling human behavior and interactions.
Keywords: Optimal control theory; Socio-economic applications; Objectivity; Continuation algorithm (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10100-025-00983-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:cejnor:v:33:y:2025:i:2:d:10.1007_s10100-025-00983-y
Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/10100
DOI: 10.1007/s10100-025-00983-y
Access Statistics for this article
Central European Journal of Operations Research is currently edited by Ulrike Leopold-Wildburger
More articles in Central European Journal of Operations Research from Springer, Slovak Society for Operations Research, Hungarian Operational Research Society, Czech Society for Operations Research, Österr. Gesellschaft für Operations Research (ÖGOR), Slovenian Society Informatika - Section for Operational Research, Croatian Operational Research Society
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().