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Robust composite event-triggered control for heterogeneous ships: Application to an auto-detecting operation
Guoqing Zhang1, Qiong Cao2, Jiqiang Li2
1State Key Laboratory of Maritime Technology and Safety, Dalian Maritime University, 1 Linghai Road, Dalian 116026, People's Republic of China; Navigation College, Dalian Maritime University, 1 Linghai Road, Dalian 116026, People's Republic of China.
A new event-triggered control algorithm ensures real and virtual ship synchronization while minimizing communication load. This advanced system enhances heterogeneous ship formation control for maritime security tasks.
Area of Science:
- Marine Engineering
- Control Systems Engineering
- Robotics
Background:
- Maintaining formation consistency and efficient communication are critical for autonomous maritime systems.
- Heterogeneous ship formations face challenges in coordination, especially during dynamic tasks like trespasser detection.
- Existing control algorithms often struggle with communication resource limitations and system uncertainties.
Purpose of the Study:
- To develop an event-triggered control algorithm for synchronized control of real and virtual ships.
- To enhance communication efficiency in ship formations.
- To address system uncertainties and quantization effects in heterogeneous ship formation control.
Main Methods:
- A composite event-triggered control algorithm utilizing a hysteresis quantizer.
- An improved L2 virtual ship (L2-VS) guidance method integrating leader-following and artificial potential field (APF) principles.
- Neural network approximation for system model uncertainties and adaptive compensation for quantization and parametric uncertainties.
- Lyapunov stability analysis to guarantee system boundedness.
Main Results:
- Effective control of position and speed consistency between real and virtual ships.
- Significant reduction in communication resource occupation.
- Successful guidance for heterogeneous ship formations in time-varying formations for trespass detection.
- Demonstrated robustness against system model uncertainties and quantization effects.
Conclusions:
- The proposed event-triggered control algorithm effectively synchronizes real and virtual ships while optimizing communication resources.
- The L2-VS guidance method combined with neural networks and adaptive compensation provides a robust solution for complex maritime formation control tasks.
- The algorithm is validated for maritime security applications, proving its practical effectiveness in detection and reformation scenarios.
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