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Global predefined-time neural network formation control for multi-unmanned ground vehicle systems using continuous state-triggered signals
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DOI：10.1016/j.apm.2026.117215.png)
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Abstract
En 中文
• The unmanned ground vehicle system model is established. • A neural network-robust control strategy is proposed to achieve global stability. • A predefined-time regulation function is designed for position/attitude subsystems. • A state-triggered switching mechanism is introduced to ensure signal smoothness.
Keywords:
Global neural network control
Formation coordination
Event-triggered mechanism
Predefined-time stability
Multi-unmanned ground vehicle systems
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