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Distributed multi-compensation-based bumpless cooperative dynamic positioning for networked unmanned surface vessels
Lili Li1, Bin Lu1, Tieshan Li2
1College of Marine Electrical Engineering, Dalian Maritime University, Dalian 116026, China.
ISA Transactions
|March 18, 2026
Summary
Networked unmanned surface vessel (NUSV) swarms face communication and security challenges. A new bumpless control strategy enhances swarm stability and positioning against deception attacks.
Area of Science:
- Marine Robotics
- Control Systems Engineering
- Networked Systems Security
Background:
- Networked unmanned surface vessels (NUSVs) operate in dynamic marine environments with limited communication resources.
- NUSV swarms are vulnerable to data tampering attacks, impacting network topology and cooperative dynamic positioning (CDP).
- Intermittent data updates and frequent topology changes degrade CDP transient performance.
Purpose of the Study:
- To investigate NUSV swarm dynamics under deception attacks (DAs) using a switching model.
- To propose a multi-compensation-based bumpless CDP strategy for improved robustness.
- To enhance swarm stability and positioning responsiveness in compromised communication scenarios.
Main Methods:
- A switching modeling approach was developed to represent unstable subsystems under compromised communication.
- A bumpless transfer (BT) control design with multi-compensation was implemented.
- A distributed event-triggered (ET) scheme and a min-bump switching rule were utilized for optimal topology transitions.
Main Results:
- The proposed switching model effectively captures challenges from disrupted connectivity and falsified neighbor data.
- The multi-compensation BT strategy smoothed control signal transitions during topology switching and perturbations.
- Simulation results confirmed superior swarm stability and positioning responsiveness against DAs compared to conventional methods.
Conclusions:
- The developed multi-compensation bumpless CDP strategy significantly improves NUSV swarm performance under deception attacks.
- The switching modeling approach provides a robust framework for analyzing NUSV dynamics in adversarial environments.
- This research offers a promising solution for secure and stable cooperative navigation of NUSV swarms.
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