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Title: Bounded extremum seeking with discontinuous dithers

Journal Article · · Automatica
 [1];  [2]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  2. Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)

The analysis of discontinuous extremum seeking (ES) controllers, e.g. those applicable to digital systems, has historically been more complicated than that of continuous controllers. We establish a simple and general extension of a recently developed bounded form of ES to a general class of oscillatory functions, including functions discontinuous with respect to time, such as triangle or square waves with dead time. We establish our main results by combining a novel idea for oscillatory control with an extension of functional analytic techniques originally utilized by Kurzweil, Jarnik, Sussmann, and Liu in the late 80s and early 90s and recently studied by Durr et al. Lastly, we demonstrate the value of the result with an application to inverter switching control.

Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC52-06NA25396
OSTI ID:
1296682
Alternate ID(s):
OSTI ID: 1703099
Report Number(s):
LA-UR-16-20704
Journal Information:
Automatica, Vol. 69; ISSN 0005-1098
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 40 works
Citation information provided by
Web of Science

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Cited By (6)

Model-Independent Tuning for Maximizing Free Electron Laser Pulse Energy text January 2019
A family of extremum seeking laws for a unicycle model with a moving target: theoretical and experimental studies conference June 2018
On a class of generating vector fields for the extremum seeking problem: Lie bracket approximation and stability properties text January 2017
Extremum Seeking Optimal Controls of Unknown Systems preprint January 2018
Phase space exchange-based bunch compression with reduced CSR effects preprint January 2018
Advanced Control Methods for Particle Accelerators (ACM4PA) 2019 Workshop Report preprint January 2020

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