Communication-Aware Formation Control of AUVs With Model Uncertainty and Fading Channel via Integral Reinforcement Learning
Author:
Affiliation:
1. Institute of Electrical Engineering, Yanshan University,Qinhuangdao,China,066004
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Information Systems,Control and Systems Engineering,Control and Optimization
Link
http://xplorestaging.ieee.org/ielx7/6570654/10007882/10007910.pdf?arnumber=10007910
Reference46 articles.
1. Formation Control of Autonomous Underwater Vehicles Subject to Communication Delays
2. Communication-Aware Energy Efficient Trajectory Planning With Limited Channel Knowledge
3. Finite-time observer based tracking control of uncertain heterogeneous underwater vehicles using adaptive sliding mode approach
4. Optimal Synchronization Control of Multiagent Systems With Input Saturation via Off-Policy Reinforcement Learning
5. Formation Learning Control of Multiple Autonomous Underwater Vehicles With Heterogeneous Nonlinear Uncertain Dynamics
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1. Minimum Time Formation Control of AUVs With Smooth Transition in Communication Topology;IEEE Robotics and Automation Letters;2024-10
2. Teleoperation Control of Autonomous Underwater Vehicle Toward Human on the Loop: Needs, Analyses, and Solutions;IEEE Systems, Man, and Cybernetics Magazine;2024-07
3. Communication-aware formation control for networks of AUVs;European Journal of Control;2024-06
4. Adaptive Non-singular Fast Terminal Sliding Mode Control for Car-Like Vehicles with Faded Neighborhood Information and Actuator Faults;Journal of Intelligent & Robotic Systems;2024-04-18
5. Distributed TMPC formation trajectory tracking of multi-UUV with time-varying communication delay;Ocean Engineering;2024-04
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