1 citations · 1 across the 8 of their papers we have counts for
8 papers
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…
Performance-Barrier Event-Triggered PDE Control of Traffic Flow
Peihan Zhang, Bhathiya Rathnayake, Mamadou Diagne +1
For stabilizing stop-and-go oscillations in traffic flow by actuating a variable speed limit (VSL) at a downstream boundary of a freeway segment, we introduce event-triggered PDE b…
Performance-Barrier Event-Triggered Control of a Class of Reaction-Diffusion PDEs
Bhathiya Rathnayake, Mamadou Diagne, Jorge Cortes +1
We employ the recent performance-barrier event-triggered control (P-ETC) for achieving global exponential convergence of a class of reaction-diffusion PDEs via PDE backstepping con…
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…
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…
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…
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…
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…