Physics-Informed Learning of Feedback-Linearizing Representations

arXiv:2609.32223 · eess.SY, cs.SY · Submitted 2026-09-26 · Read on arXiv

eess.SY, cs.SY

Submitted: 2026-09-26

Updated: 2026-09-26

Project page: https://anon-research-3125.github.io/learning-feedback-linearization

Terminology

• Consistency — 11× in this paper · explained in 3 episodes
• PDE residual — 5× in this paper · explained in 2 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Decoupling — 3× in this paper · explained in 2 episodes
• Inverse Problem — 3× in this paper · explained in 2 episodes
• Lyapunov function — 3× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Higher-order derivatives — 2× in this paper · explained in 2 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Annual Conference on Decision and Control — 1× in this paper
• Closed-Loop Control — 1× in this paper · explained in 2 episodes
• International Conference on Robotics and Automation — 1× in this paper
• Reinforcement Learning — 1× in this paper · explained in 4 episodes

Sources

• Analyzing Inverse Problems with Invertible Neural Networks

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