Adaptive fuzzy neural networks cooperative formation control for unmanned surface vehicles with constraints using prescribed time extended state observer

Key Points

• Cooperative formation control achieves effective maneuvering of unmanned surface vehicles under constraints.
• The system utilizes adaptive fuzzy neural networks to enhance response in real-time scenarios.
• Adaptive control mechanisms rely on a prescribed time extended state observer to monitor performance.
• Further validation is needed to assess the reliability of this control approach in varied operational environments.