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
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;
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
Print_ISBN :
978-1-4673-5714-2
DOI :
10.1109/CDC.2013.6760873
