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Stability study of network communication systems supported by fusion topology control techniques

Lu Bian

Lu Bian

College of Electronic Information Engineering, Sanjiang UniversityNanjing, China
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Bian, Lu
  
17 mar 2025
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Pubblicato online: 17 mar 2025
Ricevuto: 18 nov 2024
Accettato: 17 feb 2025
DOI: https://doi.org/10.2478/amns-2025-0285
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© 2025 Lu Bian, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

Two different network topology
Two different network topology

Figure 2.

Vehicle longitudinal dynamics model
Vehicle longitudinal dynamics model

Figure 3.

The state trajectory diagram of each body (tracking the same)
The state trajectory diagram of each body (tracking the same)

Figure 4.

The velocity trajectory of each body (tracking the same)
The velocity trajectory of each body (tracking the same)

Figure 5.

Adaptive parameter α variation
Adaptive parameter α variation

Figure 6.

Adaptive parameter ϒ variation
Adaptive parameter ϒ variation

Figure 7.

The state trajectory diagram of each body (No leaders)
The state trajectory diagram of each body (No leaders)

Figure 8.

The velocity trajectory of each body (No leaders)
The velocity trajectory of each body (No leaders)

Figure 9.

Adaptive parameter φ variation
Adaptive parameter φ variation

Figure 10.

Adaptive parameter ϕ variation
Adaptive parameter ϕ variation

Figure 11.

Network communication coordination control system consistency trajectory
Network communication coordination control system consistency trajectory

Figure 12.

Network communication coordination control system stability
Network communication coordination control system stability

Figure 13.

Network communication coordination control system consistency trajectory
Network communication coordination control system consistency trajectory

Figure 14.

Network communication coordination control system stability
Network communication coordination control system stability
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Inglese
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