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Finite-Time Asynchronous Event-Triggered Formation of UAVs with Semi-Markov-Type Topologies.
Chao Ma1,2, Suiwu Zheng2,3, Tao Xu2,3
1School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Sensors (Basel, Switzerland)
|June 24, 2022
Summary
This study addresses finite-time Unmanned Aerial Vehicle (UAV) formation control under semi-Markov switching topologies. It proposes an asynchronous event-triggered scheme for efficient communication and disturbance rejection.
Area of Science:
- Robotics and Control Systems
- Networked Autonomous Systems
- Aerospace Engineering
Background:
- Investigating formation control for Unmanned Aerial Vehicles (UAVs) is crucial for complex missions.
- Switching network topologies and external disturbances pose significant challenges to UAV formation stability.
- Efficient communication protocols are needed to manage data exchange in distributed UAV systems.
Purpose of the Study:
- To solve the finite-time formation problem for UAVs with semi-Markov switching topologies.
- To enhance robustness against disturbances using finite-time passivity performance.
- To develop an asynchronous event-triggered communication scheme for efficient information exchange.
Main Methods:
- Utilizing finite-time passivity performance to mitigate disturbance effects.
- Designing mode-dependent formation controllers based on the Lyapunov-Krasovskii method.
- Implementing an asynchronous event-triggered communication strategy.
Main Results:
- The proposed controllers ensure finite-time configuration formation accomplishment.
- The asynchronous event-triggered scheme enhances communication efficiency.
- Simulation results validate the effectiveness of the developed formation approach.
Conclusions:
- The finite-time formation control strategy is effective for UAVs under semi-Markov switching topologies.
- The integration of passivity performance and event-triggered communication improves system resilience and efficiency.
- The proposed method provides a robust solution for complex UAV formation tasks.
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