A 15.2 KB dataset from figshare, authored by Tiantian Guo and last updated on 2026-05 03. It likely contains numerical simulation results validating a proposed adaptive event-triggered control method for nonlinear multi-agent systems. The method aims to achieve bipartite tracking consensus while saving communication resources.
Use Cases
- Benchmarking new event-triggered control algorithms based on the described adaptive mechanism.
- Studying Zeno behavior avoidance in multi-agent systems based on the guaranteed positive inter-execution intervals.
- Analyzing the performance of bipartite consensus tracking under unknown control coefficients based on the described adaptive controller design.
Strengths
- Dataset is small (15.2 KB), facilitating quick download and inspection.
- Released under a permissive CC-BY-4.0 license, allowing for broad reuse and modification.
- The underlying method is described in detail, including theoretical guarantees for asymptotic convergence and Zeno behavior avoidance.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- The dataset's small size suggests it likely contains limited simulation results rather than extensive experimental data.
Provenance
- Source
- figshare, author Tiantian Guo.
- Collection Method
- Likely generated from a numerical simulation performed to validate the proposed control method.
- Time Range
- null
- Freshness
- Last updated 2026-05-03 12:46:02; freshness should be verified.
- Geography
- null