9 citations · 24 across the 10 of their papers we have counts for
10 papers
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…
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…
Output Feedback Control of Suspended Sediment Load Entrainment in Water Canals and Reservoirs
Eranda Somathilake, Mamadou Diagne
This paper addresses the management of water flow in a rectangular open channel, considering the dynamic nature of both the channel's bathymetry and the suspended sediment particle…
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…
Exponential and Prescribed-Time Extremum Seeking with Unbiased Convergence
Cemal Tugrul Yilmaz, Mamadou Diagne, Miroslav Krstic
We present multivariable extremum seeking (ES) designs that achieve unbiased convergence to the optimum. Two designs are introduced: one with exponential unbiased convergence (unbi…
Deep Learning of Delay-Compensated Backstepping for Reaction-Diffusion PDEs
Shanshan Wang, Mamadou Diagne, Miroslav Krstić
Deep neural networks that approximate nonlinear function-to-function mappings, i.e., operators, which are called DeepONet, have been demonstrated in recent articles to be capable o…