Dynamic task allocation in multi autonomous underwater vehicle confrontational games with multi-objective evaluation model and particle swarm optimization algorithm

Author:

Sun BingORCID,Zeng YuanrenORCID,Zhu DaqiORCID

Funder

Natural Science Foundation of Shanghai Municipality

National Natural Science Foundation of China

Shanghai Rising-Star Program

Publisher

Elsevier BV

Subject

Software

Reference31 articles.

1. An experimental study of adaptive bounded depth control for underwater vehicles subject to thruster’s dead-zone and saturation;Yu;Appl. Ocean Res.,2021

2. Fast fixed-time nonsingular terminal sliding-mode formation control for autonomous underwater vehicles based on a disturbance observer;Qin;Ocean Eng.,2023

3. Decision-making of underwater cooperative confrontation based on MODPSO;Wei;Sensors (Basel, Switzerland),2019

4. Multi-UUV cooperative dynamic maneuver decision-making algorithm using intuitionistic fuzzy game theory;Liu;Complexity,2020

5. A GOA-based fault-tolerant trajectory tracking control for an underwater vehicle of multi-thruster system without actuator saturation;Zhu;IEEE Trans. Autom. Sci. Eng.,2023

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