Title :
An analytic framework for decentralized extremum seeking control
Author :
Kvaternik, Karla ; Pavel, Lacra
Author_Institution :
Edward S. Rogers Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
Abstract :
We introduce a general analytic framework for decentralized extremum-seeking control schemes involving N dynamic agents. The agents cooperate in achieving a coordination objective which is abstracted as a collective optimization problem. Each agent has access only to the measurements of its individual objective function values, and may communicate with neighboring agents. We provide a set of sufficient conditions under which such schemes exhibit semi-global practical asymptotic stability with respect to an equilibrium point which is parameterized by the collective optimizer.
Keywords :
asymptotic stability; decentralised control; multi-agent systems; optimal control; optimisation; collective optimization problem; collective optimizer; coordination objective; decentralized extremum seeking control; dynamic agent; general analytic framework; semiglobal practical asymptotic stability; Algorithm design and analysis; Asymptotic stability; Cost function; Heuristic algorithms; Transient analysis; Vectors;
Conference_Titel :
American Control Conference (ACC), 2012
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4577-1095-7
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2012.6315598
