Method of Artificial Control and the 3D Navier-Stokes System
Michael Z. Zgurovsky () and
Pavlo O. Kasyanov ()
Additional contact information
Michael Z. Zgurovsky: National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
Pavlo O. Kasyanov: National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
A chapter in Optimization Methods and Applications, 2017, pp 585-600 from Springer
Abstract:
Abstract In this paper we establish the artificial control method for nonlinear distributed systems. We investigate the regularity properties of each weak solution for “problem in hands.” As a result, the long-time dynamics, the convergence of approximations in strongest topologies, and the structure properties of limit sets for all weak solutions for the number of nonlinear systems like a feedback control problem, a model of combustion in porous media, a model of conduction of electrical impulses in nerve axons, a climate energy balance model, and the 3D Navier-Stokes system can be examined.
Keywords: Artificial Control; Energy Balance Climate Model; Feedback Control Problem; Weak Solution; Long-time Dynamics (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spochp:978-3-319-68640-0_28
Ordering information: This item can be ordered from
http://www.springer.com/9783319686400
DOI: 10.1007/978-3-319-68640-0_28
Access Statistics for this chapter
More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().