Statistical Learning of Contractive Dynamical Representations for Composite Adaptive Control

arXiv:2609.35758 · eess.SY, cs.LG, cs.RO, cs.SY · Submitted 2026-09-28 · Read on arXiv

eess.SY, cs.LG, cs.RO, cs.SY

Submitted: 2026-09-28

Updated: 2026-09-28

Terminology

Ablation — 10× in this paper · explained in 1 episode
Robustness — 7× in this paper · explained in 5 episodes
Adaptation — 6× in this paper · explained in 1 episode
Latent Dynamics — 4× in this paper · explained in 2 episodes
System Identification — 3× in this paper · explained in 3 episodes
Decode — 2× in this paper · explained in 2 episodes
Regularization — 2× in this paper · explained in 3 episodes
Representation Learning — 2× in this paper · explained in 2 episodes
Closed-Loop System — 1× in this paper · explained in 4 episodes
Clustering — 1× in this paper · explained in 2 episodes
Data Assimilation — 1× in this paper · explained in 2 episodes
Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
Foundation Model — 1× in this paper · explained in 3 episodes
Foundation Models — 1× in this paper · explained in 7 episodes
Generalization — 1× in this paper · explained in 13 episodes
Inverse Problem — 1× in this paper · explained in 2 episodes
Meta-learning — 1× in this paper · explained in 2 episodes
PID Controller — 1× in this paper · explained in 2 episodes
Reinforcement Learning — 1× in this paper · explained in 4 episodes
Sample Efficiency — 1× in this paper · explained in 4 episodes

Sources

Neural Contractive Dynamical Systems

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