Sliding mode control based on RBF neural network for a class of underactuated systems with unknown sensor and actuator faults-Reference-Cited by-同舟云学术

Sliding mode control based on RBF neural network for a class of underactuated systems with unknown sensor and actuator faults

Published:2020-09-11 Issue:16 Volume:51 Page:3539-3549
ISSN:0020-7721
Container-title:International Journal of Systems Science
language:en
Short-container-title:International Journal of Systems Science

Author:

Ji Ning¹,Liu Jinkun¹^ORCID,Yang Hongjun²

Affiliation:

1. School of Automation Science and Electrical Engineering, Beihang University, Beijing, People's Republic of China

2. The State Key laboratory for Management and Control of Complex Systems, Institute of Automation Chinese Academy of Sciences, Beijing, People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207721.2020.1817615

Reference33 articles.

1. null

2. Distributed tracking of multiple under-actuated Lagrangian systems with uncertain parameters and actuator faults

3. Transverse function control with prescribed performance guarantees for underactuated marine surface vehicles

4. Adaptive Neural Control of Underactuated Surface Vessels With Prescribed Performance Guarantees

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