Paper Info
Title
Extremum-seeking control of distributed systems using consensus estimation
Abstract
A method for solving constrained optimization problems in real-time using a distributed control system is presented in this work. The actions of a controller is based on measurements of a part of the total cost function. The algorithm is classified as an extremum-seeking control approach because the design requires no knowledge of the cost function. The controllers coordinate movements by solving a consensus estimation problem in parallel with the optimization. A proof for the algorithm's convergence is presented. Two simulation examples are used to study the behaviour of the proposed system.
Year
DOI
Venue
2014
10.1109/CDC.2014.7039924
Decision and Control
Keywords
Field
DocType
estimation theory,large-scale systems,optimal control,optimisation,real-time systems,consensus estimation problem,constrained optimization problems,distributed control system,extremum seeking control,large scale systems,real-time systems,total cost function
Convergence (routing),Control theory,Mathematical optimization,Computer science,Control theory,Constrained optimization problem,Total cost,Distributed control system
Conference
ISSN
Citations 
PageRank 
0743-1546
2
0.38
References 
Authors
12
2
Name
Order
Citations
PageRank
Dougherty, S.151.44
M. Guay228341.27