An innovative distributed self-organizing control of unmanned surface vehicle swarm with collision avoidance

[1]  Lu Liu,et al.  Distributed Path Following of Multiple Under-Actuated Autonomous Surface Vehicles Based on Data-Driven Neural Predictors via Integral Concurrent Learning , 2021, IEEE Transactions on Neural Networks and Learning Systems.

[2]  Tieshan Li,et al.  A Survey of Autonomous Underwater Vehicle Formation: Performance, Formation Control, and Communication Capability , 2021, IEEE Communications Surveys & Tutorials.

[3]  Tieshan Li,et al.  Distributed Containment Maneuvering of Uncertain Multiagent Systems in MIMO Strict-Feedback Form , 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[4]  Li Ma,et al.  Composite finite-time straight-line path-following control of an underactuated surface vessel , 2020, J. Frankl. Inst..

[5]  Xiaowei Fu,et al.  A formation maintenance and reconstruction method of UAV swarm based on distributed control , 2020 .

[6]  Chunhu Liu,et al.  Line-of-sight guided time delay control for three-dimensional coupled path following of underactuated underwater vehicles with roll dynamics , 2020 .

[7]  Rubo Zhang,et al.  Distributed coordinated tracking control of multiple unmanned surface vehicles under complex marine environments , 2020, Ocean Engineering.

[8]  Dan Wang,et al.  Output-Feedback Cooperative Formation Maneuvering of Autonomous Surface Vehicles With Connectivity Preservation and Collision Avoidance , 2020, IEEE Transactions on Cybernetics.

[9]  Tieshan Li,et al.  Cooperative Path Following Ring-Networked Under-Actuated Autonomous Surface Vehicles: Algorithms and Experimental Results , 2020, IEEE Transactions on Cybernetics.

[10]  Kok Kiong Tan,et al.  Three Dimensional Collision Avoidance for Multi Unmanned Aerial Vehicles Using Velocity Obstacle , 2020, J. Intell. Robotic Syst..

[11]  Zhang Yu,et al.  Path-guided time-varying formation control with collision avoidance and connectivity preservation of under-actuated autonomous surface vehicles subject to unknown input gains , 2019, Ocean Engineering.

[12]  Xiao Liang,et al.  Swarm control with collision avoidance for multiple underactuated surface vehicles , 2019, Ocean Engineering.

[13]  Yunfei Mu,et al.  Robust non-fragile proportional plus derivative state feedback control for a class of uncertain Takagi-Sugeno fuzzy singular systems , 2019, J. Frankl. Inst..

[14]  Antonios Tsourdos,et al.  Switching LOS guidance with speed allocation and vertical course control for path-following of unmanned underwater vehicles under ocean current disturbances , 2019, Ocean Engineering.

[15]  Hong Yi,et al.  Joint Formation Control with Obstacle Avoidance of Towfish and Multiple Autonomous Underwater Vehicles Based on Graph Theory and the Null-Space-Based Method , 2019, Sensors.

[16]  Jun Wang,et al.  Constrained Control of Autonomous Underwater Vehicles Based on Command Optimization and Disturbance Estimation , 2019, IEEE Transactions on Industrial Electronics.

[17]  Jian Li,et al.  Robust time-varying formation control for underactuated autonomous underwater vehicles with disturbances under input saturation , 2019, Ocean Engineering.

[18]  Tieshan Li,et al.  Bounded Neural Network Control for Target Tracking of Underactuated Autonomous Surface Vehicles in the Presence of Uncertain Target Dynamics , 2019, IEEE Transactions on Neural Networks and Learning Systems.

[19]  Ning Wang,et al.  Fuzzy unknown observer-based robust adaptive path following control of underactuated surface vehicles subject to multiple unknowns , 2019, Ocean Engineering.

[20]  Fei Luo,et al.  Leader–Follower Formation Control of USVs With Prescribed Performance and Collision Avoidance , 2019, IEEE Transactions on Industrial Informatics.

[21]  Chaomin Luo,et al.  Biologically Inspired Self-Organizing Map Applied to Task Assignment and Path Planning of an AUV System , 2018, IEEE Transactions on Cognitive and Developmental Systems.

[22]  Zhouhua Peng,et al.  Distributed Maneuvering of Autonomous Surface Vehicles Based on Neurodynamic Optimization and Fuzzy Approximation , 2018, IEEE Transactions on Control Systems Technology.

[23]  Qing-Long Han,et al.  Achieving Cluster Formation of Multi-Agent Systems Under Aperiodic Sampling and Communication Delays , 2018, IEEE Transactions on Industrial Electronics.

[24]  Xiaogang Wang,et al.  Neural network based boundary control of a vibrating string system with input deadzone , 2018, Neurocomputing.

[25]  Rajesh Kumar,et al.  QUAT-DEM: Quaternion-DEMATEL based neural model for mutual coordination between UAVs , 2017, Inf. Sci..

[26]  Weidong Zhang,et al.  Robust neural path-following control for underactuated ships with the DVS obstacles avoidance guidance , 2017 .

[27]  Qing-Long Han,et al.  Network-Based Heading Control and Rudder Oscillation Reduction for Unmanned Surface Vehicles , 2017, IEEE Transactions on Control Systems Technology.

[28]  Alireza Khosravi,et al.  On position/force tracking control problem of cooperative robot manipulators using adaptive fuzzy backstepping approach. , 2017, ISA transactions.

[29]  Yanjun Huang,et al.  Path Planning and Tracking for Vehicle Collision Avoidance Based on Model Predictive Control With Multiconstraints , 2017, IEEE Transactions on Vehicular Technology.

[30]  Yuanchang Liu,et al.  The angle guidance path planning algorithms for unmanned surface vehicle formations by using the fast marching method , 2016 .

[31]  Lu Liu,et al.  Coordinated path following of multiple underacutated marine surface vehicles along one curve. , 2016, ISA transactions.

[32]  Lu Liu,et al.  Neural adaptive steering of an unmanned surface vehicle with measurement noises , 2016, Neurocomputing.

[33]  K. D. Do,et al.  Synchronization Motion Tracking Control of Multiple Underactuated Ships With Collision Avoidance , 2016, IEEE Transactions on Industrial Electronics.

[34]  Bidyadhar Subudhi,et al.  A backstepping approach for the formation control of multiple autonomous underwater vehicles using a leader–follower strategy , 2016 .

[35]  Gianmarco Radice,et al.  Close proximity formation flying via linear quadratic tracking controller and artificial potential function , 2015 .

[36]  Khoshnam Shojaei,et al.  Leader–follower formation control of underactuated autonomous marine surface vehicles with limited torque , 2015 .

[37]  Kristin Y. Pettersen,et al.  Line-of-Sight Path Following for Dubins Paths With Adaptive Sideslip Compensation of Drift Forces , 2015, IEEE Transactions on Control Systems Technology.

[38]  Dan Wang,et al.  Coordinated formation pattern control of multiple marine surface vehicles with model uncertainty and time-varying ocean currents , 2014, Neural computing & applications (Print).

[39]  Francisco Chiclana,et al.  Visual information feedback mechanism and attitudinal prioritisation method for group decision making with triangular fuzzy complementary preference relations , 2014, Inf. Sci..

[40]  Thor I. Fossen,et al.  Integral LOS Path Following for Curved Paths Based on a Monotone Cubic Hermite Spline Parametrization , 2014, IEEE Transactions on Control Systems Technology.

[41]  Dan Wang,et al.  Adaptive dynamic surface control for cooperative path following of marine surface vehicles with input saturation , 2014 .

[42]  Kiattisin Kanjanawanishkul,et al.  Coordinated Path Following for Mobile Robots Using a Virtual Structure Strategy with Model Predictive Control , 2014 .

[43]  E. Oland,et al.  Collision and terrain avoidance for UAVs using the potential field method , 2013, 2013 IEEE Aerospace Conference.

[44]  Zhongyang Zheng,et al.  Research Advance in Swarm Robotics , 2013 .

[45]  Dan Wang,et al.  Adaptive Dynamic Surface Control for Formations of Autonomous Surface Vehicles With Uncertain Dynamics , 2013, IEEE Transactions on Control Systems Technology.

[46]  Maarouf Saad,et al.  Nonlinear coordination control for a group of mobile robots using a virtual structure , 2011 .

[47]  Da Lin,et al.  Dynamic fuzzy neural networks modeling and adaptive backstepping tracking control of uncertain chaotic systems , 2010, Neurocomputing.

[48]  Jawhar Ghommam,et al.  Coordinated Path-Following Control for a Group of Underactuated Surface Vessels , 2009, IEEE Transactions on Industrial Electronics.

[49]  Jay A. Farrell,et al.  Formation control of multiple underactuated surface vessels , 2008 .

[50]  Farbod Fahimi,et al.  Sliding-Mode Formation Control for Underactuated Surface Vessels , 2007, IEEE Transactions on Robotics.

[51]  Brett R. Fajen,et al.  Visual navigation and obstacle avoidance using a steering potential function , 2006, Robotics Auton. Syst..

[52]  Craig W. Reynolds Flocks, herds, and schools: a distributed behavioral model , 1987, SIGGRAPH.

[53]  O. Khatib,et al.  Real-Time Obstacle Avoidance for Manipulators and Mobile Robots , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

[54]  Yiyuan Zou,et al.  Fast Collision Detection for Small Unmanned Aircraft Systems in Urban Airspace , 2021, IEEE Access.

[55]  Kok Kiong Tan,et al.  Collision avoidance of multi unmanned aerial vehicles: A review , 2019, Annu. Rev. Control..

[56]  Rubo Zhang,et al.  A Novel Distributed and Self-Organized Swarm Control Framework for Underactuated Unmanned Marine Vehicles , 2019, IEEE Access.

[57]  Wen Jiang,et al.  Formation Control of Multiple Unmanned Surface Vehicles Using the Adaptive Null-Space-Based Behavioral Method , 2019, IEEE Access.

[58]  Yuanchang Liu,et al.  A multi-layered fast marching method for unmanned surface vehicle path planning in a time-variant maritime environment , 2017 .

[59]  Yangzhou Chen,et al.  Formation Control Strategy for Nonholonomic Intelligent Vehicles Based on Virtual Structure and Consensus Approach , 2016 .

[60]  Yen-Chen Liu,et al.  Task-space coordination control of bilateral human-swarm systems , 2015, J. Frankl. Inst..

[61]  José-Enrique Simó-Ten,et al.  A Hierarchical Hybrid Architecture for Mission-Oriented Robot Control , 2013, ROBOT.