A new fuzzy SMC control approach to path tracking of autonomous underwater vehicles with mismatched disturbances
Author:
Affiliation:
1. Ocean University of China,College of Engineering,Qingdao,China
2. Deakin University,School of Information Technology,Burwood,Australia
Funder
Fundamental Research Funds for the Central Universities
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9775197/9775124/09775403.pdf?arnumber=9775403
Reference27 articles.
1. Disturbance observer based tracking controller for an autonomous underwater vehicle
2. AUV near-wall-following control based on adaptive disturbance observer
3. Improved line-of-sight trajectory tracking control of under-actuated AUV subjects to ocean currents and input saturation
4. Neuroadaptive Sliding Mode Formation Control of Autonomous Underwater Vehicles With Uncertain Dynamics
5. Neural network-based nonlinear sliding-mode control for an AUV without velocity measurements
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1. State-Transform MPC-SMC-Based Trajectory Tracking Control of Cross-Rudder AUV Carrying Out Underwater Searching Tasks;Journal of Marine Science and Engineering;2024-05-26
2. Dual-Loop Integral Sliding Mode Control-Based Path Tracking with Reaction Torque for Autonomous Underwater Vehicle;Journal of Marine Science and Engineering;2024-02-26
3. Three-Dimensional Prescribed Performance Tracking Control of UUV via PMPC and RBFNN-FTTSMC;Journal of Marine Science and Engineering;2023-07-03
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