activity
20212026
most citedPrescribed exponential stabilization of scalar neutral differential equations: Application to neural control

50 citations · 63 across the 12 of their papers we have counts for

collaborators

12 papers

math.OC2026

Scalable iterative Gramian synthesis for control-affine systems

Zongxi Yu, Cyprien Tamekue, Ruiqi Chen +1

This article presents a scalable implementation of nonlinear Gramian-based control synthesis for control-affine systems, including a minimum energy control construction. These synt…

math.AP2026

Minimal time for null controllability of the parabolic spherical Baouendi-Grushin equation

Cyprien Tamekue

We study null controllability for the parabolic equation on endowed with its canonical almost-Riemannian structure. For a spherical crown , where $0…

math.OC2026

Minimum-Energy Control For Control-Affine Systems

Cyprien Tamekue, Zongxi Yu, ShiNung Ching

Fixed-horizon minimum-energy control for control-affine systems rarely admits closed-form formulas beyond the linear setting. In this article, under the assumption of unconstrained…

math.OC2025

Control of neural field equations with step-function inputs

Cyprien Tamekue, ShiNung Ching

Wilson-Cowan and Amari-type models capture nonlinear neural population dynamics, providing a fundamental framework for modeling how sensory and other exogenous inputs shape activit…

math.OC2025

Control analysis and synthesis for general control-affine systems

Cyprien Tamekue, ShiNung Ching

We study controllability and constructive synthesis for control-affine systems. We introduce trajectory-dependent Gramian maps that extend the linear time-varying Gramian and yield…

math.OC2024

On the control of recurrent neural networks using constant inputs

Cyprien Tamekue, Ruiqi Chen, ShiNung Ching

This paper investigates the controllability of a broad class of recurrent neural networks widely used in theoretical neuroscience, including models of large-scale human brain dynam…