EconPapers    
Economics at your fingertips  
 

Sparse solutions of optimal control via Newton method for under-determined systems

Boris Polyak () and Andrey Tremba ()
Additional contact information
Boris Polyak: Institute for Control Sciences
Andrey Tremba: Institute for Control Sciences

Journal of Global Optimization, 2020, vol. 76, issue 3, No 12, 613-623

Abstract: Abstract We focus on finding sparse and least-$$\ell _1$$ℓ1-norm solutions for unconstrained nonlinear optimal control problems. Such optimization problems are non-convex and non-smooth, nevertheless recent versions of Newton method for under-determined equations can be applied successively for such problems.

Keywords: Optimal control; Sparse control; Newton method; Under-determined equations; $$\ell _1$$ ℓ 1 -norm (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s10898-019-00784-z 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:jglopt:v:76:y:2020:i:3:d:10.1007_s10898-019-00784-z

Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/10898

DOI: 10.1007/s10898-019-00784-z

Access Statistics for this article

Journal of Global Optimization is currently edited by Sergiy Butenko

More articles in Journal of Global Optimization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-12
Handle: RePEc:spr:jglopt:v:76:y:2020:i:3:d:10.1007_s10898-019-00784-z