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 :
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