Prescribed time observer based trajectory tracking control of autonomous underwater vehicle with tracking error constraints
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[1] Yumin Su,et al. Distributed Affine Formation Maneuver Control of Autonomous Surface Vehicles With Event-Triggered Data Transmission Mechanism , 2023, IEEE Transactions on Control Systems Technology.
[2] Q. Lu,et al. Cooperative Control of Multirobot Systems Subject to Control Gain Uncertainty , 2023, IEEE Transactions on Industrial Informatics.
[3] Xianbo Xiang,et al. Advances in Marine Intelligent Electromagnetic Detection System, Technology, and Applications: A Review , 2023, IEEE Sensors Journal.
[4] Xianbo Xiang,et al. Survey on traditional and AI based estimation techniques for hydrodynamic coefficients of autonomous underwater vehicle , 2023, Ocean Engineering.
[5] Dan Wang,et al. Advances in Line-of-Sight Guidance for Path Following of Autonomous Marine Vehicles: An Overview , 2023, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[6] Yingkai Xia,et al. Three-Dimensional Trajectory Tracking for a Heterogeneous XAUV via Finite-Time Robust Nonlinear Control and Optimal Rudder Allocation , 2022, Journal of Marine Science and Engineering.
[7] Auwal Shehu Tijjani,et al. A survey on tracking control of unmanned underwater vehicles: Experiments-based approach , 2022, Annu. Rev. Control..
[8] M. Loueipour,et al. Fixed-time observer-based homogeneous controller with state-dependent exponent for fault tolerant control of an underwater vehicle , 2022, Ocean Engineering.
[9] Lu Liu,et al. Safe cooperative path following with relative-angle-based collision avoidance for multiple underactuated autonomous surface vehicles , 2022, Ocean Engineering.
[10] Yongpeng Weng,et al. Finite-time observer-based model-free time-varying sliding-mode control of disturbed surface vessels , 2022, Ocean Engineering.
[11] Lei Liu,et al. Disturbance Observer-Based Adaptive Intelligent Control of Marine Vessel With Position and Heading Constraint Condition Related to Desired Output. , 2022, IEEE transactions on neural networks and learning systems.
[12] Xianbo Xiang,et al. Robust adaptive neural network control for dynamic positioning of marine vessels with prescribed performance under model uncertainties and input saturation , 2021, Neurocomputing.
[13] Yonggui Kao,et al. Robust Synchronization for Under-Actuated Vessels Based on Disturbance Observer , 2021, IEEE Transactions on Intelligent Transportation Systems.
[14] H. Lam,et al. Adaptive Event-Triggered Control for Nonlinear Systems With Asymmetric State Constraints: A Prescribed-Time Approach , 2023, IEEE Transactions on Automatic Control.
[15] Xingling Shao,et al. Neurodynamic Formation Maneuvering Control With Modified Prescribed Performances for Networked Uncertain Quadrotors , 2021, IEEE Systems Journal.
[16] Yueling Wang,et al. Dynamic event-triggered formation control for AUVs with fixed-time integral sliding mode disturbance observer , 2021, Ocean Engineering.
[17] Liang Sun,et al. Reinforcement Learning-Based Fixed-Time Trajectory Tracking Control for Uncertain Robotic Manipulators With Input Saturation , 2021, IEEE Transactions on Neural Networks and Learning Systems.
[18] Zhengxing Wu,et al. Extended State Observer-Based Controller With Model Predictive Governor for 3-D Trajectory Tracking of Underactuated Underwater Vehicles , 2021, IEEE Transactions on Industrial Informatics.
[19] Zhouhua Peng,et al. Data-Driven Adaptive Disturbance Observers for Model-Free Trajectory Tracking Control of Maritime Autonomous Surface Ships , 2021, IEEE Transactions on Neural Networks and Learning Systems.
[20] Haiyan Tu,et al. Trajectory planning and low-chattering fixed-time nonsingular terminal sliding mode control for a dual-arm free-floating space robot , 2021, Robotica.
[21] Hamid Reza Karimi,et al. Guidance and control methodologies for marine vehicles: A survey , 2021 .
[22] Wenhai Qi,et al. Finite-time boundedness analysis and composite anti-disturbance control for uncertain semi-Markovian jump systems with time delay , 2021, Science China Information Sciences.
[23] Yan-Jun Liu,et al. Neural network based adaptive event trigger control for a class of electromagnetic suspension systems , 2021, Control Engineering Practice.
[24] Zhao Wang,et al. Cloud-based mission control of USV fleet: Architecture, implementation and experiments , 2021 .
[25] Yanchao Sun,et al. Adaptive Interval Type-2 Fuzzy Fixed-time Control for Underwater Walking Robot with Error Constraints and Actuator Faults Using Prescribed Performance Terminal Sliding-mode Surfaces , 2020, International Journal of Fuzzy Systems.
[26] Chenguang Yang,et al. Adaptive Neural Network Control of Underactuated Surface Vessels With Guaranteed Transient Performance: Theory and Experimental Results , 2020, IEEE Transactions on Industrial Electronics.
[27] Dan Wang,et al. Event-triggered neural network control of autonomous surface vehicles over wireless network , 2020, Science China Information Sciences.
[28] Ge Guo,et al. Fixed-time sliding mode formation control of AUVs based on a disturbance observer , 2020, IEEE/CAA Journal of Automatica Sinica.
[29] Omid Elhaki,et al. A robust neural network approximation-based prescribed performance output-feedback controller for autonomous underwater vehicles with actuators saturation , 2020, Eng. Appl. Artif. Intell..
[30] Weidong Zhang,et al. Trajectory Tracking Control of AUVs via Adaptive Fast Nonsingular Integral Terminal Sliding Mode Control , 2020, IEEE Transactions on Industrial Informatics.
[31] Hamid Reza Karimi,et al. Finite-Time Observer-Based Sliding Mode Control for Quantized Semi-Markov Switching Systems With Application , 2020, IEEE Transactions on Industrial Informatics.
[32] Chengzhi Yuan,et al. Adaptive Neural Control of Underactuated Surface Vessels With Prescribed Performance Guarantees , 2019, IEEE Transactions on Neural Networks and Learning Systems.
[33] Laxman M. Waghmare,et al. Disturbance Observer-Based Fuzzy Adapted S-Surface Controller for Spatial Trajectory Tracking of Autonomous Underwater Vehicle , 2019, IEEE Transactions on Intelligent Vehicles.
[34] Zhu Qidan,et al. Path following control of fully-actuated autonomous underwater vehicle in presence of fast-varying disturbances , 2019, Applied Ocean Research.
[35] David J. Hill,et al. Prescribed-Time Consensus and Containment Control of Networked Multiagent Systems , 2019, IEEE Transactions on Cybernetics.
[36] Hamid Reza Karimi,et al. Accurate Trajectory Tracking of Disturbed Surface Vehicles: A Finite-Time Control Approach , 2019, IEEE/ASME Transactions on Mechatronics.
[37] Yongduan Song,et al. Time‐varying feedback for stabilization in prescribed finite time , 2019 .
[38] Qin Zhang,et al. Virtual Submerged Floating Operational System for Robotic Manipulation , 2018, Complex..
[39] Zewei Zheng,et al. Path Following of a Surface Vessel With Prescribed Performance in the Presence of Input Saturation and External Disturbances , 2017, IEEE/ASME Transactions on Mechatronics.
[40] Yongduan Song,et al. Time-varying feedback for regulation of normal-form nonlinear systems in prescribed finite time , 2017, Autom..
[41] Charalampos P. Bechlioulis,et al. Trajectory Tracking With Prescribed Performance for Underactuated Underwater Vehicles Under Model Uncertainties and External Disturbances , 2017, IEEE Transactions on Control Systems Technology.
[42] Dan Wang,et al. Saturated coordinated control of multiple underactuated unmanned surface vehicles over a closed curve , 2017, Science China Information Sciences.
[43] Miroslav Krstic,et al. Robust dynamic positioning of ships with disturbances under input saturation , 2016, Autom..
[44] Meng Joo Er,et al. Fast and Accurate Trajectory Tracking Control of an Autonomous Surface Vehicle With Unmodeled Dynamics and Disturbances , 2016, IEEE Transactions on Intelligent Vehicles.
[45] Andrey Polyakov,et al. Nonlinear Feedback Design for Fixed-Time Stabilization of Linear Control Systems , 2012, IEEE Transactions on Automatic Control.
[46] Charalampos P. Bechlioulis,et al. Robust Adaptive Control of Feedback Linearizable MIMO Nonlinear Systems With Prescribed Performance , 2008, IEEE Transactions on Automatic Control.