Neural network-based nonlinear sliding-mode control for an AUV without velocity measurements
Author:
Affiliation:
1. School of Marine Science and Technology, Northwestern Polytechnical University , Xi'an, PR China
Funder
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
Computer Science Applications,Control and Systems Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207179.2017.1366669
Reference39 articles.
1. Range-Based Underwater Vehicle Localization in the Presence of Unknown Ocean Currents: Theory and Experiments
2. Fault reconstruction of thruster for autonomous underwater vehicle based on terminal sliding mode observer
3. Extended State Observer-Based Integral Sliding Mode Control for an Underwater Robot With Unknown Disturbances and Uncertain Nonlinearities
4. Adaptive Neural Network Control of AUVs With Control Input Nonlinearities Using Reinforcement Learning
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