A time-varying extremum-seeking control approach

This paper considers the solution of a real-time optimization problem using adaptive extremum seeking control. It is assumed that the equations describing the dynamics of the nonlinear system and the cost function to be minimized are unknown and that the objective function is measured. The main cont...

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Bibliographic Details
Published in2013 American Control Conference pp. 2643 - 2648
Main Authors Guay, M., Dhaliwal, S., Dochain, D.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2013
Subjects
Convergence
Cost function
Estimation
Nonlinear systems
Parameter estimation
Steady-state
Tuning
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ISBN1479901776
9781479901777
ISSN0743-1619
DOI10.1109/ACC.2013.6580233

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Summary:This paper considers the solution of a real-time optimization problem using adaptive extremum seeking control. It is assumed that the equations describing the dynamics of the nonlinear system and the cost function to be minimized are unknown and that the objective function is measured. The main contribution of the paper is to formulate the extremum-seeking problem as a time-varying estimation problem. The proposed approach is shown to avoid the need for averaging results which minimizes the impact of the choice of dither signal on the performance of the extremum seeking control system. A simulation is used to illustrate the effectiveness of the proposed technique.
ISBN:1479901776
9781479901777
ISSN:0743-1619
DOI:10.1109/ACC.2013.6580233