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Published on: November 26, 2019
Event-based formation control for multiple unmanned aerial vehicles under directed topology
Tingting Yin1, Zhou Gu1, Shen Yan1
1College of Mechanical & Electronic Engineering, Nanjing Forestry University, Nanjing 210037, PR China.
This study introduces an event-triggered communication scheme for multiple unmanned aerial vehicles (UAVs) to maintain formation control despite cyber attacks. The novel approach reduces network congestion and ensures system stability.
Area of Science:
- Robotics and Control Systems
- Cyber-Physical Systems
- Networked Autonomous Systems
Background:
- Formation control of multiple unmanned aerial vehicles (UAVs) is critical for coordinated tasks.
- Cyber attacks pose significant threats to the stability and reliability of UAV systems.
- Event-triggered communication is essential for efficient network resource utilization in multi-UAV systems.
Purpose of the Study:
- To develop a novel event-triggered communication scheme for robust formation control of multiple UAVs under cyber attacks.
- To mitigate the impact of cyber attacks on UAV formation stability.
- To enhance network bandwidth efficiency and reduce congestion in multi-UAV systems.
Main Methods:
- An average method is employed to design the event-triggering condition, minimizing false triggers.
- A control compensation approach is utilized to develop an event-based formation control strategy.
- Analysis under directed topology conditions ensures the robustness of the control strategy.
Main Results:
- The proposed scheme significantly reduces unnecessary communication events, conserving network bandwidth.
- The event-based formation control strategy effectively counteracts cyber attacks.
- Sufficient conditions for achieving the desired formation are mathematically derived.
Conclusions:
- The novel event-triggered communication scheme provides a robust solution for multi-UAV formation control under cyber attacks.
- The developed strategy enhances network efficiency and system resilience.
- Simulation results validate the theoretical findings and demonstrate practical applicability.
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