Adversarial Physics-Informed Machine Learning for Robust Optimal Safe Predefined-Time Stabilization: A Game-Theoretic Approach

Documenti analoghi

• A Neural-Operator Preconditioned Newton Method for Accelerated Nonlinear Solvers
  di: Lee, Youngkyu, et al.
  Pubblicazione: (2025)
• Separable Approximations of Optimal Value Functions and Their Representation by Neural Networks
  di: Sperl, Mario, et al.
  Pubblicazione: (2025)
• A Single-Loop Bilevel Deep Learning Method for Optimal Control of Obstacle Problems
  di: Song, Yongcun, et al.
  Pubblicazione: (2026)
• Self-Organizing Dual-Buffer Adaptive Clustering Experience Replay (SODACER) for Safe Reinforcement Learning in Optimal Control
  di: Amirabadi, Roya Khalili, et al.
  Pubblicazione: (2026)
• An Operator Learning Approach to Nonsmooth Optimal Control of Nonlinear PDEs
  di: Song, Yongcun, et al.
  Pubblicazione: (2024)