most citedUnbiased Extremum Seeking for PDEs

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math.OC2025

Unbiased Extremum Seeking for MPPT in Photovoltaic Systems

Cemal Tugrul Yilmaz, Eric Foss, Mamadou Diagne +1

This paper presents novel extremum seeking (ES) strategies for maximum power point tracking (MPPT) in photovoltaic (PV) systems that ensure unbiased convergence and prescribed-time…

math.OC2024

Periodic Event-Triggered Boundary Control of Neuron Growth with Actuation at Soma

Cenk Demir, Mamadou Diagne, Miroslav Krstic

Exploring novel strategies for the regulation of axon growth, we introduce a periodic event-triggered control (PETC) to enhance the practical implementation of the associated PDE b…

math.OC2024

Practical Safe Extremum Seeking with Assignable Rate of Attractivity to the Safe Set

Alan Williams, Miroslav Krstic, Alexander Scheinker

We present Assignably Safe Extremum Seeking (ASfES), an algorithm designed to minimize a measured objective function while maintaining a measured metric of safety (a control barrie…

math.OC2024★ 1 cited

Unbiased Extremum Seeking for PDEs

Cemal Tugrul Yilmaz, Mamadou Diagne, Miroslav Krstic

There have been recent efforts that combine seemingly disparate methods, extremum seeking (ES) optimization and partial differential equation (PDE) backstepping, to address the pro…

math.OC2024

Asymptotic, Exponential, and Prescribed-Time Unbiasing in Seeking of Time-Varying Extrema

Cemal Tugrul Yilmaz, Mamadou Diagne, Miroslav Krstic

Our recently developed "unbiased" extremum seeking (uES) algorithms ensure perfect convergence to the optimum at a user-assigned exponential rate or, more powerfully, within a user…

math.OC2024

Perfect Tracking of Time-Varying Optimum by Extremum Seeking

Cemal Tugrul Yilmaz, Mamadou Diagne, Miroslav Krstic

This paper introduces extremum seeking (ES) algorithms designed to achieve perfect tracking of arbitrary time-varying extremum. In contrast to classical ES approaches that employ c…