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20232026
most citedBackstepping for Partial Differential Equations:A Survey

18 citations · 35 across the 17 of their papers we have counts for

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14 papers · 1 filter

eess.SY2026

The Heavy Chain PDE: Rapid Stabilization by Backstepping

Miroslav Krstic

We consider boundary stabilization of a heavy chain hanging from a moving trolley with no tip load. Because the tension vanishes at the free end, the wave speed vanishes there; in…

eess.SY2026

Approximate Feedback Linearization for a Nonlinear Hyperbolic PDE Class -- Part I: Volterra Truncation

Miroslav Krstic

Backstepping for nonlinear PDEs yields exact feedback linearizing laws in the form of infinite Volterra series -- elegant in theory, but with challenges for implementation. This pa…

eess.SY2025

Stabilization of nonlinear systems with unknown delays via delay-adaptive neural operator approximate predictors

Luke Bhan, Miroslav Krstic, Yuanyuan Shi

This work establishes the first rigorous stability guarantees for approximate predictors in delay-adaptive control of nonlinear systems, addressing a key challenge in practical imp…

eess.SY2025

Delay compensation of multi-input distinct delay nonlinear systems via neural operators

Filip Bajraktari, Luke Bhan, Miroslav Krstic +1

In this work, we present the first stability results for approximate predictors in multi-input non-linear systems with distinct actuation delays. We show that if the predictor appr…

eess.SY2025

Delay-adaptive Control of Nonlinear Systems with Approximate Neural Operator Predictors

Luke Bhan, Miroslav Krstic, Yuanyuan Shi

In this work, we propose a rigorous method for implementing predictor feedback controllers in nonlinear systems with unknown and arbitrarily long actuator delays. To address the an…

eess.SY2024

Neural Operator Feedback for a First-Order PIDE with Spatially-Varying State Delay

Jie Qi, Jiaqi Hu, Jing Zhang +1

A transport PDE with a spatial integral and recirculation with constant delay has been a benchmark for neural operator approximations of PDE backstepping controllers. Introducing a…