PID Fuzzy and Neural Fuzzy Depth Controllers for an underwater robot: the UROV-Reference-Cited by-同舟云学术

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PID Fuzzy and Neural Fuzzy Depth Controllers for an underwater robot: the UROV

Published:2024-07-11 Issue: Volume:15 Page:44-49
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Container-title:2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP)
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Author:

Jabeur Chiraz Ben¹,Seddik Hassene²

Affiliation:

1. University of Tunis El Manar, ISI, 2, Rue Abou Raihane Bayrouni, 2080, Ariana, University of Tunis, RIFTSI, ENSIT, 5, Av. Taha Hussein,Tunis,Tunisia,1008

2. University of Tunis,Department of Electrical Engineering, RIFTSI, ENSIT, 5, Av. TahaHussein,Tunis,Tunisia,1008

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10638790/10638839/10639006.pdf?arnumber=10639006

Reference14 articles.

1. Hydrodynamic Stability and Control Analyses of the UNH-EAVE Autonomous Underwater Vehicle;Humphreys,1982

2. The Influence of Thruster Dynamics on Underwater Vehicle Behavior and Their Incorporation Into Control System Design;Dana;IEEE Journal of Ocean Engineering,1990

3. Autonomous Underwater Vehicles and Field of View in Underwater Operations

4. A Survey of Autonomous Underwater Vehicle Formation: Performance, Formation Control, and Communication Capability

5. Dynamic Positioning of an ROV with Unknown Dynamics and in the Presence of External Disturbances Using Extended-State Observer;Hosseinnajad

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