Title
Robust Extremum Seeking For A Second Order Uncertain Plant Using A Sliding Mode Controller
Abstract
This paper suggests a novel continuous-time robust extremum seeking algorithm for an unknown convex function constrained by a dynamical plant with uncertainties. The main idea of the proposed method is to develop a robust closed-loop controller based on sliding modes where the sliding surface takes the trajectory around a zone of the optimal point. We assume that the output of the plant is given by the states and a measure of the function. We show the stability and zone-convergence of the proposed algorithm. In order to validate the proposed method, we present a numerical example.
Year
DOI
Venue
2019
10.2478/amcs-2019-0052
INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE
Keywords
DocType
Volume
convex optimization, extremum seeking, continuous-time gradient algorithm, dynamical constrained optimization, unknown functions
Journal
29
Issue
ISSN
Citations 
4
1641-876X
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Cesar Solis100.34
Julio B. Clempner29120.11
Alexander S. Poznyak335863.68