Manoeuvring of underwater snake robot with tail thrust using the actor-critic neural network super-twisting sliding mode control in the uncertain environment and disturbances-Reference-Cited by-同舟云学术

Manoeuvring of underwater snake robot with tail thrust using the actor-critic neural network super-twisting sliding mode control in the uncertain environment and disturbances

Published:2023-11-14 Issue: Volume: Page:
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Patel Bhavik M.^ORCID,Dwivedy Santosha K.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-023-09113-8.pdf

Reference31 articles.

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2. Murugendran B, Transeth AA, Fjerdingen SA (2009) Modeling and path-following for a snake robot with active wheels. In: IEEE/RSJ international conference on intelligent robots and systems, pp 3643–3650. https://doi.org/10.1109/IROS.2009.5353886

3. Huang K, Shao K, Zhen S, Sun H (2017) A novel approach for modeling and tracking control of a passive-wheel snake robot. Adv Mech Eng 9(3):168781401769394. https://doi.org/10.1177/1687814017693944

4. Kelasidi E, Pettersen KY, Gravdahl JT, Stromsoyen S, Sorensen AJ (2017) Modeling and propulsion methods of underwater snake robots. In: IEEE conference on control technology and applications (CCTA), pp 819–826. https://doi.org/10.1109/CCTA.2017.8062561

5. Kelasidi E, Pettersen KY, Liljebäck P, Gravdahl JT (2016) Locomotion efficiency of underwater snake robots with thrusters. In: IEEE international symposium on safety, security, and rescue robotics (SSRR), pp 174–181. https://doi.org/10.1109/SSRR.2016.7784295

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