Spectrum: Concordia University Research Repository
metadata only
Dynamic recurrent neural networks for stable adaptive control of wing rock motion
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- REFINEPPO: Learning Continuous Control Policies by Iterative Action Refinement#1035078
- Universal Construction of Generalized Lyapunov Functions for Nonlinear Dynamical Systems Using Physics-Informed Neural Networks#630041
- Universal Construction of Generalized Lyapunov Functions for Nonlinear Dynamical Systems Using Physics-Informed Neural Networks#628179
- Gradient-free learning of a closed-loop wall controller for turbulent drag reduction#366269
- A Weak Penalty Neural ODE for Learning Chaotic Dynamics from Noisy Time Series#629855
Record · ID 345875
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive