Bounded Extremum Seeking for Single-Variable Static Map using State Transformation - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2024

Bounded Extremum Seeking for Single-Variable Static Map using State Transformation

Résumé

We solve a gradient based bounded extremum seeking problem for single-variable static maps in the presence of time-varying piecewise continuous measurement uncertainty. Instead of using previously reported averaging-based methods, we introduce a new state transformation, allowing us to use new comparison function and generalized Lyapunov function approaches to obtain our ultimate bounds on the parameter estimation error. We illustrate significant advantages of our new method, including less restrictive conditions on the extremum seeking parameters, as compared with previous methods.
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Dates et versions

hal-04704546 , version 1 (21-09-2024)

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  • HAL Id : hal-04704546 , version 1

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Frederic Mazenc, Michael Malisoff, Emilia Fridman. Bounded Extremum Seeking for Single-Variable Static Map using State Transformation. CDC 2024 - 63rd IEEE Conference on Decision and Control, Dec 2024, Milan, Italy. ⟨hal-04704546⟩
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