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20142026
most citedDeep Learning of Delay-Compensated Backstepping for Reaction-Diffusion PDEs

9 citations · 57 across the 42 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

eess.SY2025

When classical predictors fail: an exact network outflowpredictor for heterogeneous multi-agent systems with communication delays

Qin Fang, Mamadou Diagne, Yang Zhu

This paper develops an information outflow predictor-feedback framework for the exact compensation of constant but nonuniform communication delays in the output synchronization pro…

math.OC2025

Distributed Time-Varying Optimization via Unbiased Extremum Seeking

Xuebin Li, Xuefei Yang, Emilia Fridman +2

This paper proposes a novel distributed optimization framework that addresses time-varying optimization problems without requiring explicit derivative information of the objective…

math.OC2025★ 4 cited

Constant-Sum High-Order Barrier Functions for Safety Between Parallel Boundaries

Kwang Hak Kim, Mamadou Diagne, Miroslav Krstić

This paper takes a step towards addressing the difficulty of constructing Control Barrier Functions (CBFs) for parallel safety boundaries. A single CBF for both boundaries has been…

math.OC2025

DeepONet of dynamic event-triggered backstepping boundary control for reaction-diffusion PDEs

Hongpeng Yuan, Ji Wang, Mamadou Diagne

We present an event-triggered boundary control scheme for a class of reaction-diffusion PDEs using operator learning and backstepping method. Our first-of-its-kind contribution aim…

eess.SY2025

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…