Straight-Path Following and Formation Control of USVs Using Distributed Deep Reinforcement Learning and Adaptive Neural Network
Author:
Affiliation:
1. School of Marine Science and Technology, Northwestern Polytechnical University,Xi'an,China,710072
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/ielx7/6570654/10024119/10024162.pdf?arnumber=10024162
Reference16 articles.
1. Path parameters consensus based formation control of multiple Autonomous Underwater Vehicles in the presence of ocean currents
2. Cooperative Path Following of Robotic Vehicles Using an Event-Based Control and Communication Strategy
3. Pattern formation for a fleet of AUVs based on optical sensor
4. Adaptive and extendable control of unmanned surface vehicle formations using distributed deep reinforcement learning
5. Continuous control with deep reinforcement learning;lillicrap;Proc Int Conf Learn Represent,0
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