Multibody System-Based Adaptive Formation Scheme for Multiple Under-Actuated AUVs
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Lei Wan | Qirong Tang | Hai Huang | Guocheng Zhang | Tiedong Zhang | Yongjie Pang | Lei Wan | Q. Tang | Hai Huang | Y. Pang | Guo-cheng Zhang | Tiedong Zhang
[1] Fengju Kang,et al. UUV formation system modeling and simulation research based on Multi-Agent Interaction Chain , 2015, Int. J. Model. Simul. Sci. Comput..
[2] Daqi Zhu,et al. A Novel Cooperative Hunting Algorithm for Inhomogeneous Multiple Autonomous Underwater Vehicles , 2018, IEEE Access.
[3] Bong Seok Park. Adaptive formation control of underactuated autonomous underwater vehicles , 2015 .
[4] Hao Wang,et al. Command filter based globally stable adaptive neural control for cooperative path following of multiple underactuated autonomous underwater vehicles with partial knowledge of the reference speed , 2018, Neurocomputing.
[5] Enrico Petritoli,et al. High Accuracy Buoyancy for Underwater Gliders: The Uncertainty in the Depth Control † , 2019, Sensors.
[6] Haibo He,et al. Formation Learning Control of Multiple Autonomous Underwater Vehicles With Heterogeneous Nonlinear Uncertain Dynamics , 2018, IEEE Transactions on Cybernetics.
[7] Henry Leung,et al. A Genetic Algorithm-Inspired UUV Path Planner Based on Dynamic Programming , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[8] Zhijun Li,et al. Neural Network Approximation Based Near-Optimal Motion Planning With Kinodynamic Constraints Using RRT , 2018, IEEE Transactions on Industrial Electronics.
[9] Enrico Petritoli,et al. High Accuracy Attitude and Navigation System for an Autonomous Underwater Vehicle (AUV) , 2018, ACTA IMEKO.
[10] Francesco Di Corato,et al. Cooperative navigation of AUVs via acoustic communication networking: field experience with the Typhoon vehicles , 2016, Auton. Robots.
[11] Hande Y. Benson,et al. Peer-Reviewed Technical Communication Mixed Integer Nonlinear Programming Framework for Fixed Path Coordination of Multiple Underwater Vehicles Under Acoustic Communication Constraints , 2015 .
[12] M.J. Ryan,et al. Design of a Propagation-Delay-Tolerant MAC Protocol for Underwater Acoustic Sensor Networks , 2009, IEEE Journal of Oceanic Engineering.
[13] Lichuan Zhang,et al. Cooperative Localization for Multi-AUVs Based on GM-PHD Filters and Information Entropy Theory , 2017, Sensors.
[14] Xue Qi. Adaptive coordinated tracking control of multiple autonomous underwater vehicles , 2014 .
[15] Gianluca Antonelli,et al. Experiments on sampling/patrolling with two Autonomous Underwater Vehicles , 2015, Robotics Auton. Syst..
[16] Lorenzo Brignone,et al. GREX sea trials: first experiences in multiple underwater vehicle coordination based on acoustic communication , 2009, OCEANS 2009-EUROPE.
[17] Gerardo Beruvides,et al. A self-learning strategy for artificial cognitive control systems , 2015, 2015 IEEE 13th International Conference on Industrial Informatics (INDIN).
[18] Marcello Farina,et al. Application of distributed predictive control to motion and coordination problems for unicycle autonomous robots , 2015, Robotics Auton. Syst..
[19] Younghwan Yoo,et al. Impact of MAC Delay on AUV Localization: Underwater Localization Based on Hyperbolic Frequency Modulation Signal , 2018, Sensors.
[20] Shi Haoshan,et al. A MAC Protocol for Underwater Sensor Networks , 2007, 2007 8th International Conference on Electronic Measurement and Instruments.
[21] Zheping Yan,et al. Limited Communication Consensus Control of Leader-Following Multi-UUVs in a Swarm System Under Multi-Independent Switching Topologies and Time Delay , 2018, IEEE Access.
[22] Wei Zhang,et al. A Unified Framework for Street-View Panorama Stitching , 2016, Sensors.
[23] Jie Wu,et al. Minimizing deep sea data collection delay with autonomous underwater vehicles , 2017, J. Parallel Distributed Comput..
[24] Alberto Villalonga,et al. Digital Twin-Based Optimization for Ultraprecision Motion Systems With Backlash and Friction , 2019, IEEE Access.
[25] Beom Hee Lee,et al. A new hybrid terrain coverage method for underwater robotic exploration , 2014 .
[26] Bilal Gonen,et al. Event driven energy depth and channel aware routing for underwater acoustic sensor networks: Agent oriented clustering based approach , 2017, Comput. Electr. Eng..
[27] Ryan M. Eustice,et al. An origin state method for communication constrained cooperative localization with robustness to packet loss , 2014, Int. J. Robotics Res..
[28] Mohammad Pourmahmood Aghababa,et al. 3D path planning for underwater vehicles using five evolutionary optimization algorithms avoiding static and energetic obstacles , 2012 .
[29] Ho-Shin Cho,et al. Data-Gathering Scheme Using AUVs in Large-Scale Underwater Sensor Networks: A Multihop Approach , 2016, Sensors.
[30] Gene Eu Jan,et al. Multi-AUV cooperative target search and tracking in unknown underwater environment , 2018 .
[31] Yukun Lin,et al. A Multi‐Autonomous Underwater Vehicle System for Autonomous Tracking of Marine Life , 2017, J. Field Robotics.
[32] Karl Sammut,et al. A survey on path planning for persistent autonomy of autonomous underwater vehicles , 2015 .
[33] Yang Liu,et al. An iterative learning approach to formation control of multi-agent systems , 2012, Syst. Control. Lett..