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20222026
most citedNeural-Rendezvous: Provably Robust Guidance and Control to Encounter Interstellar Objects

6 citations · 7 across the 10 of their papers we have counts for

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Showing 2026Show all

7 papers · 1 filter

math.OC2026

Intrinsic Contraction Theory and Stabilization of Probability Measures on the Wasserstein Space

Min Kim, Joshua D. Ibrahim, Soon-Jo Chung

Deterministic flows can contract Wasserstein distances between probability laws without being contractive in point-state space. We develop a differential contraction theory for pus…

eess.SY2026

Statistical Learning of Contractive Dynamical Representations for Composite Adaptive Control

Min Kim, José Leonardo Brenes, Fred Hadaegh +1

We present a representation-learning framework for composite adaptive tracking control under dynamically coupled disturbances. The framework connects classical disturbance-accommod…

eess.SY2026

Schur-Neural KF: Learned Schur-Consistent Corrections to the Extended Kalman Filter

Min Kim, Lianghao Cao, Soon-Jo Chung +1

We present Schur-Neural KF (SN-KF), a learning-based correction to the extended Kalman filter (EKF) that preserves the probabilistic conditioning interpretation of the EKF. The met…

eess.SY2026

Geometric Fault Identification via Mirror Descent Learning

Mahdi Taheri, Haeyoon Han, Soon-Jo Chung +1

This paper develops a fault detection and identification (FDI) method for nonlinear control-affine systems under simultaneous actuator and sensor faults. We adopt a geometric appro…

eess.SY2026

Perron-Frobenius Contractive Operator Matching for Data-Driven Reachable Fault Identification and Recovery

Joshua D. Ibrahim, Mahdi Taheri, Soon-Jo Chung +1

This paper focuses on data-driven fault detection, identification, and recovery (FDIR) for nonlinear control-affine systems under actuator faults. We create a unified framework in…

eess.SY2026

Data-Driven Probabilistic Fault Detection and Identification via Density Flow Matching

Joshua D. Ibrahim, Mahdi Taheri, Soon-Jo Chung +1

Fault detection and identification (FDI) is critical for maintaining the safety and reliability of systems subject to actuator and sensor faults. In this paper, the problem of FDI…

cs.RO2026

ContractionPPO: Certified Reinforcement Learning via Differentiable Contraction Layers

Vrushabh Zinage, Narek Harutyunyan, Eric Verheyden +2

Legged locomotion in unstructured environments demands not only high-performance control policies but also formal guarantees to ensure robustness under perturbations. Control metho…