arXiv (All)
open access
Local Identifiability of Networks with Nonlinear Node Dynamics
We study the identifiability of nonlinear network systems with partial excitation and partial measurement when the network dynamics is linear on the edges and nonlinear on the nodes. We assume that the graph topology and the nonlinear functions at the node level are known, and we aim to identify the
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
- Cascade Surviving Cores via Local Limits#1110615
- NICE: Scale-Stable Perturbations for Graph Neural Network Explanations via Noise Corruption#630167
- NICE: Scale-Stable Perturbations for Graph Neural Network Explanations via Noise Corruption#628305
- Graph Neural Network Force Fields for Spin Dynamics in Metallic Magnets#414093
- On propagation characteristics of resilient functions#785368
Record · ID 799840
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