activity
20122024
most citedDeep Learning of Delay-Compensated Backstepping for Reaction-Diffusion PDEs

9 citations · 45 across the 34 of their papers we have counts for

collaborators

34 papers

math.OC2024

Extremum Seeking Control for Scalar Maps with Distributed Diffusion PDEs

Pedro Henrique Silva Coutinho, Tiago Roux Oliveira, Miroslav Krstic

This paper deals with the gradient extremum seeking control for static scalar maps with actuators governed by distributed diffusion partial differential equations (PDEs). To achiev…

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.OC20241 cited

Nash Equilibrium Seeking for Noncooperative Duopoly Games via Event-Triggered Control

Victor Hugo Pereira Rodrigues, Tiago Roux Oliveira, Miroslav Krstić +1

This paper proposes a novel approach for locally stable convergence to Nash equilibrium in duopoly noncooperative games based on a distributed event-triggered control scheme. The p…

eess.SY2024

From Sontag s to Cardano-Lyapunov Formula for Systems Not Affine in the Control: Convection-Enabled PDE Stabilization

Mohamed Camil Belhadjoudja, Miroslav Krstic, Mohamed Maghenem +1

We propose the first generalization of Sontag s universal controller to systems not affine in the control, particularly, to PDEs with boundary actuation. We assume that the system…

math.OC20241 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…