EconPapers    
Economics at your fingertips  
 

Optimization of nonlocal time-delayed feedback controllers

Peter Nestler (), Eckehard Schöll () and Fredi Tröltzsch ()
Additional contact information
Peter Nestler: Technische Universität Berlin
Eckehard Schöll: Technische Universität Berlin
Fredi Tröltzsch: Technische Universität Berlin

Computational Optimization and Applications, 2016, vol. 64, issue 1, No 10, 265-294

Abstract: Abstract A class of Pyragas type nonlocal feedback controllers with time-delay is investigated for the Schlögl model. The main goal is to find an optimal kernel in the controller such that the associated solution of the controlled equation is as close as possible to a desired spatio-temporal pattern. An optimal kernel is the solution to a nonlinear optimal control problem with the kernel taken as control function. The well-posedness of the optimal control problem and necessary optimality conditions are discussed for different types of kernels. Special emphasis is laid on time-periodic functions as desired patterns. Here, the cross correlation between the state and the desired pattern is invoked to set up an associated objective functional that is to be minimized. Numerical examples are presented for the 1D Schlögl model and a class of simple step functions for the kernel.

Keywords: Schlögl model; Nagumo equation; Pyragas type feedback control; Nonlocal delay; Controller optimization; Numerical method (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10589-015-9809-6 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:coopap:v:64:y:2016:i:1:d:10.1007_s10589-015-9809-6

Ordering information: This journal article can be ordered from
http://www.springer.com/math/journal/10589

DOI: 10.1007/s10589-015-9809-6

Access Statistics for this article

Computational Optimization and Applications is currently edited by William W. Hager

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

 
Page updated 2025-03-20
Handle: RePEc:spr:coopap:v:64:y:2016:i:1:d:10.1007_s10589-015-9809-6