Fault-tolerant trajectory tracking control of underwater salvage robots based on super-twisting sliding mode
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Adaptive collaborative control using algorithms with a 0.1 gain adjustment enhances robustness in human-robot collaboration, reducing task times in construction.
“Adaptive collaborative control, using algorithms with a 0.1 gain adjustment, enhances robustness in human-robot collaboration, reducing task times in construction [12,43].”
From Hybrid Fault-Tolerant Control in Cooperative Robotics: Advances in Resilience and Scalability (2025) · cites this paper as [43]
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Hybrid Fault-Tolerant Control in Cooperative Robotics: Advances in Resilience and Scalability
Urrea, C. (2025) · Actuators · doi:10.3390/act14040177 · Cited by 19 · see citing works
- Authors
- Jiang, Y., Zhang, Q., & Hu, Y.
- Affiliations
- Shandong Jiaotong University (CN)
- Corresponding author
- Zhang, Qiang
- Venue
- Ocean Engineering
- Publisher
- Elsevier BV
- Published
- 2024-11
- Volume
- 312
- Pages
- 119340
- ISSN
- 0029-8018 (ISSN-L)
- OpenAlex
- W4402862195
- Cited by
- 10
- References
- 0
- Citations by year
- 2026: 5 · 2025: 5
- FWCI
- 1.73
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Ocean Engineering (publishedVersion)
- Funders
- Shandong Province Department of Science and Technology
- Topics
- Physical Sciences › Engineering › Ocean Engineering › Underwater Vehicles and Communication Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Adaptive Control of Nonlinear Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Control and Dynamics of Mobile Robots
- Keywords
- fault-tolerant control, trajectory tracking, super-twisting sliding mode observer, actuator faults, projection analysis
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