Path Following With Prescribed Performance for Under-Actuated Autonomous Underwater Vehicles Subjects to Unknown Actuator Dead-Zone-Reference-Cited by-同舟云学术

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Path Following With Prescribed Performance for Under-Actuated Autonomous Underwater Vehicles Subjects to Unknown Actuator Dead-Zone

Published:2023-06 Issue:6 Volume:24 Page:6257-6267
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Wang Wenjin¹^ORCID,Wen Tao²^ORCID,He Xiao¹^ORCID,Xu Guohua³

Affiliation:

1. Department of Automation, Tsinghua University, Beijing, China

2. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China

3. School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology, Wuhan, China

Funder

National Key Research and Development Program of China

China Post-Doctoral Science Foundation

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10139322/10056415.pdf?arnumber=10056415

Reference35 articles.

1. Adaptive prescribed performance tracking control for underactuated autonomous underwater vehicles with input quantization

2. Deducing an upper bound to the horizontal eddy diffusivity using a stochastic Lagrangian model

3. Velocity free leader-follower formation control for autonomous underwater vehicles with line-of-sight range and angle constraints

4. Modeling and control of a variable-length AUV;mcewen;Proc 6th Int Symp Unmanned Untethered Submersible Technology,2001

5. Robust adaptive neural network control for dynamic positioning of marine vessels with prescribed performance under model uncertainties and input saturation

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1. Modified Quadratic Spacing Policy and Extended State Observer-Based Adaptive Platoon Tracking Scheme for Heterogeneous Vehicles;IEEE Transactions on Intelligent Transportation Systems;2024-08

2. Approximate Optimal Adaptive Prescribed Performance Fault-Tolerant Control for Autonomous Underwater Vehicle Based on Self-Organizing Neural Networks;IEEE Transactions on Vehicular Technology;2024-07

3. Event-Triggered Quantitative Prescribed Performance Neural Adaptive Control for Autonomous Underwater Vehicles;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2024-06

4. Adaptive Control for Autonomous Underwater Vehicles without Kinetic Model using Deep Neural Network;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17

5. Observer-based prescribed performance path-following control for autonomous ground vehicles via error shifting method;Nonlinear Dynamics;2024-05-03

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