Issue |
E3S Web Conf.
Volume 627, 2025
VI International Conference on Geotechnology, Mining and Rational Use of Natural Resources (GEOTECH-2025)
|
|
---|---|---|
Article Number | 04006 | |
Number of page(s) | 9 | |
Section | Automation, Digital Transformation and Intellectualization for the Sustainable Development of Mining and Transport Systems, Energy Complexes and Mechanical Engineering | |
DOI | https://doi.org/10.1051/e3sconf/202562704006 | |
Published online | 16 May 2025 |
Conceptual model of robust management of inertial open innovations in the context of digital transformation of the national innovation system
1 Expert and Analytical Center, 33, Talalikhina str., Moscow, 109316, Russia
2 Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, 40, Vavilov Street, Moscow, 119333, Russia
3 Central Economics and Mathematics Institute of Russian Academy of Sciences, 47, Nakhimovsky Prospekt, Moscow, 117418, Russia
4 National University of Science & Technology MISiS, 4, Leninsky Prospect, Moscow, 119049, Russia
* Corresponding author: kartsan2003@mail.ru
Dynamic development of network interaction between the subjects of the national innovation system as a mechanism for more intensive development of investment activity in the mining and metallurgical industry will be possible only with the introduction of a reliable system of management of open innovations. The complexity of reliable management is due, in particular, to the significant inertia of scientific and technical projects and works in various conditions associated, in particular, with changes in the intensity of scientific information flows. On the basis of system analysis of the problems of management of inertial open innovations in the mining and metallurgical industry, the feasibility of using regulatory structures with an internal model based on various feedback systems is proved. The regulator for robust control, tuned to the worst inertial mode of operation of existing structures, guarantees stability and leads to performance indicators that are not inferior to those set in other modes of operation.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.