Input-Quantized Output Feedback Control for Autonomous Underwater Vehicles with Tunnel Prescribed Performance
Author:
Affiliation:
1. Hainan University,School of Information and Communication Engineering,Haikou,China
2. Shanghai Jiao Tong University,Department of Automation,Shanghai,China
3. Hainan University,Haikou City,China
Funder
Shanghai Jiao Tong University
National Natural Science Foundation of China
Natural Science Foundation of Hainan Province
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10587298/10587321/10587437.pdf?arnumber=10587437
Reference27 articles.
1. AUV-Assisted Subsea Exploration Method in 6G Enabled Deep Ocean Based on a Cooperative Pac-Men Mechanism
2. Autonomous Exploration of Complex Underwater Environments Using a Probabilistic Next-Best-View Planner
3. Neural Network Model-Based Reinforcement Learning Control for AUV 3-D Path Following
4. Seaglider: a long-range autonomous underwater vehicle for oceanographic research
5. Guidance-Error-Based Robust Fuzzy Adaptive Control for Bottom Following of a Flight-Style AUV With Saturated Actuator Dynamics
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