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Published in 2025 at "Asian Journal of Control"
DOI: 10.1002/asjc.3602
Abstract: Adaptive flocking control of multi‐agent systems faces challenges in handling uncertainties and ensuring safety. This paper aims to address these issues based on the hypothesis that the uncertain parameters are bounded. First, a concurrent learning…
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Keywords:
flocking control;
agent systems;
control;
multi agent ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2956558
Abstract: This paper investigates the Cucker-Smale flocking control problem of leader-follower multiagent systems in the presence of periodic intermittent communication, in which networked agents update the states by communicating with their neighbors during active periods and…
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Keywords:
smale flocking;
communication;
leader follower;
cucker smale ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3016951
Abstract: In this paper, we apply deep reinforcement learning (DRL) to solve the flocking control problem of multi-robot systems in complex environments with dynamic obstacles. Starting from the traditional flocking model, we propose a DRL framework…
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Keywords:
multi robot;
control;
reinforcement learning;
deep reinforcement ... See more keywords
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Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3519422
Abstract: Growing demands for marine missions are driving the trend of maneuvering the large-scale fleet of electric marine surface vehicles (LSF-EMSVs) through obstacle-laden environments. Against this backdrop, this article investigates the collision-free distributed flocking control problem…
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Keywords:
flocking control;
control;
distributed flocking;
electric marine ... See more keywords
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Published in 2021 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2020.3009992
Abstract: This article addresses an output-feedback flocking control problem for a swarm of autonomous surface vehicles (ASVs) to follow a leading ASV guided via a parameterized path. The leading and following ASVs are subject to completely…
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Keywords:
output feedback;
control;
driven adaptive;
data driven ... See more keywords
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Published in 2023 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2023.3246985
Abstract: This article explores deep reinforcement learning (DRL) for the flocking control of unmanned aerial vehicle (UAV) swarms. The flocking control policy is trained using a centralized-learning-decentralized-execution (CTDE) paradigm, where a centralized critic network augmented with…
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Keywords:
repulsion;
control;
limited visual;
visual field ... See more keywords
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Published in 2021 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.2986436
Abstract: To resolve the issues of traffic fatality and congestion in modern transportation systems, this paper proposes a novel hierarchical flocking control framework for multiple connected and automated vehicles (CAVs) to integrate path planning, speed profile…
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Keywords:
flocking control;
control;
vehicle;
control framework ... See more keywords
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Published in 2022 at "Biomimetics"
DOI: 10.3390/biomimetics7040214
Abstract: For the sake of accomplishing the rapidity, safety and consistency of obstacle avoidance for a large-scale unmanned aerial vehicle (UAV) swarm in a dynamic and unknown 3D environment, this paper proposes a flocking control algorithm…
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Keywords:
swarm;
flocking control;
aerial vehicle;
fixed wing ... See more keywords