DocumentCode
3647635
Title
A unifying framework for analysis and design of extremum seeking controllers
Author
Dragan Nešić; Ying Tan;Chris Manzie;Alireza Mohammadi;Will Moase
Author_Institution
Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville 3010, Victoria, Australia
fYear
2012
fDate
5/1/2012 12:00:00 AM
Firstpage
4274
Lastpage
4285
Abstract
We summarize a unifying design approach to continuous-time extremum seeking that was recently reported by the authors. This approach is based on a feedback control paradigm that was to the best of our knowledge explicitly summarized for the first time in this form in our recent work. This paradigm covers some existing extremum seeking schemes, provides a direct link to off-line optimization and can be used as a unifying framework for design of novel extremum seeking schemes. Moreover, we show that other extremum seeking problem formulations can be interpreted using this unifying viewpoint. We believe that this unifying view will be invaluable to systematically design and analyze extremum seeking controllers in various settings.
Keywords
"Optimization","Algorithm design and analysis","Convergence","Heuristic algorithms","Steady-state","Vectors","Mathematical model"
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2012 24th Chinese
ISSN
1948-9439
Print_ISBN
978-1-4577-2073-4
Electronic_ISBN
1948-9447
Type
conf
DOI
10.1109/CCDC.2012.6244001
Filename
6244001
Link To Document