Learning Provable Neural Network Observer for Uncertain Dynamical Systems

arXiv:2609.30819 · cs.LG, math.OC · Submitted 2026-09-25 · Read on arXiv

cs.LG, math.OC

Submitted: 2026-09-25

Updated: 2026-09-25

Code: https://github.com/Berry-Myon/LearningNeuralNetworkObserver

Terminology

• Fine-Tuning — 15× in this paper · explained in 5 episodes
• Robustness — 11× in this paper · explained in 5 episodes
• Ablation — 8× in this paper · explained in 1 episode
• Core — 8× in this paper · explained in 2 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• Two-stage training — 5× in this paper · explained in 2 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Regularization — 4× in this paper · explained in 3 episodes
• Two-Stage Framework — 4× in this paper · explained in 2 episodes
• Ablation study — 3× in this paper · explained in 1 episode
• Activation Function — 3× in this paper · explained in 1 episode
• Generalization — 3× in this paper · explained in 13 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Extended State Observers — 2× in this paper
• Institutional Review Board — 2× in this paper
• Linear Matrix Inequality — 2× in this paper
• Lyapunov function — 2× in this paper · explained in 2 episodes
• Theoretical Guarantees — 2× in this paper · explained in 2 episodes
• Basic Nonlinear Model Predictive Control — 1× in this paper
• Basic Proportional-Integral-Derivative — 1× in this paper
• Closed-Loop System — 1× in this paper · explained in 4 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Nonlinear Model Predictive Control (NMPC) — 1× in this paper · explained in 3 episodes
• PID Controller — 1× in this paper · explained in 2 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Semidefinite Programming (SDP) — 1× in this paper · explained in 3 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes
• Verification — 1× in this paper · explained in 2 episodes

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