@inproceedings{355f1200e6184574af4643de4e4aa5e2,
title = "Stochastic extremum seeking in the presence of constraints",
abstract = "The problem of adaptive minimization of globally unknown functions under constraints on the independent variable is considered in a stochastic framework. The main contribution of this paper consists in the extension of the CAM algorithm to vector problems. By resorting to the ODE analysis for analyzing stochastic algorithms and singular perturbation methods, it is shown that the only possible convergence points in the vector case are the constrained local minima. Simulations for dimension 2 problems illustrate this result.",
keywords = "Adaptive control, Constraint satisfaction, Convergence analysis, Optimal search techniques, Singular perturbation method",
author = "Coito, {Fernando Jos{\'e} Almeida Vieira do} and Lemos, {Jo{\~a}o M.} and Alves, {S. S.}",
year = "2005",
doi = "10.3182/20050703-6-CZ-1902.00267",
language = "English",
isbn = "008045108X",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
publisher = "IFAC Secretariat",
number = "1",
pages = "276--281",
booktitle = "Proceedings of the 16th IFAC World Congress, IFAC 2005",
address = "Austria",
edition = "1",
note = "16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005 ; Conference date: 03-07-2005 Through 08-07-2005",
}