2020
DOI: 10.1016/j.automatica.2020.109068
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Extremum-seeking control for optimization of time-varying steady-state responses of nonlinear systems

Abstract: DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal re… Show more

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Cited by 22 publications
(19 citation statements)
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“…However, boundedness of the solutions can still be guaranteed. This stability result is similar to the ones in [14, Corollary 13] and [16,Theorem 14].…”
Section: Stability Analysissupporting
confidence: 89%
“…However, boundedness of the solutions can still be guaranteed. This stability result is similar to the ones in [14, Corollary 13] and [16,Theorem 14].…”
Section: Stability Analysissupporting
confidence: 89%
“…The early researches on the Extremum Seeking (ES) date bake to 1920s [1] and since then this strategy has been extensively exploited to solve several optimisation problems in electronics [2], mechatronics [3], mechanics [4], aerodynamics [5], thermohydraulics [6], and thermoacoustic [7]. Some of the most popular ES schemes are those proposed in [8,9], which represent the subject of the proposed analysis, although a remarkable variety of schemes were proposed, such as the adoption of an integral action in [10], the use of a cost function's parameter estimator [11,12], the introduction of an observer [13], the extension to fractional derivatives in [3], the use of a predictor to compensate output delays in [14], the implementation of a Newton-based algorithm avoiding the Hessian matrix inversion [15,16], and the concurrent use of a simplex-method to find the global minimiser [17].…”
Section: Introductionmentioning
confidence: 99%
“…The early research on the Extremum Seeking (ES) dates back to the 1920s [1] and since then this strategy has been extensively exploited to solve several optimisation problems in electronics [2], mechatronics [3], mechanics [4], aerodynamics [5], thermohydraulics [6], and thermoacoustic [7]. Some of the most popular ES schemes are those proposed in [8], [9], which represent the subject of the proposed analysis, although a remarkable variety of schemes were proposed, such as the adoption of integral action in [10], the use of a cost function's parameter estimator [11], [12], the introduction of an observer [13], the extension to fractional derivatives in [3], the use of a predictor to compensate output delays in [14], the implementation of a Newton-based algorithm avoiding the Hessian matrix inversion [15], [16], and the concurrent use of a simplex-method to find the global minimiser [17].…”
Section: Introductionmentioning
confidence: 99%