DocumentCode
3536876
Title
Fast model-based extremum seeking on Hammerstein plants
Author
Sharafi, Jalil ; Moase, William H. ; Shekhar, Rohan C. ; Manzie, Chris
Author_Institution
Dept. of Mech. Eng., Univ. of Melbourne, Melbourne, VIC, Australia
fYear
2013
fDate
10-13 Dec. 2013
Firstpage
6226
Lastpage
6231
Abstract
Partial plant knowledge may be used to develop model-based extremum seekers, however existing results rely on a type of time-scale separation which leads to slow optimization relative to the plant dynamics. In this work, a fast model-based extremum seeking scheme is proposed for a Hammerstein plant, and semi-global stability results are provided. Simulation results are used to validate the theoretical results.
Keywords
optimisation; perturbation techniques; stability; Hammerstein plant dynamics; model-based extremum seeking scheme; optimization; partial plant knowledge; semi-global stability; time scale separation; Electronic mail; Gold; Optimization; Stability analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location
Firenze
ISSN
0743-1546
Print_ISBN
978-1-4673-5714-2
Type
conf
DOI
10.1109/CDC.2013.6760873
Filename
6760873
Link To Document