Adaptive fault-tolerant formation tracking control of networked mobile robots with input delays
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Decentralized control paradigms reduce latency using distributed tuning, as seen in UAV swarms with rapid recovery.
“while decentralized control paradigms reduce latency using distributed tuning, as seen in UAV swarms with rapid recovery [27,44].”
From Hybrid Fault-Tolerant Control in Cooperative Robotics: Advances in Resilience and Scalability (2025) · cites this paper as [44]
Decentralized and swarm-based systems manage larger scales with moderate to high overhead.
“Table 7 compares these architectures, showing decentralized and swarm-based systems managing larger scales with moderate to high overhead [44,51].”
From Hybrid Fault-Tolerant Control in Cooperative Robotics: Advances in Resilience and Scalability (2025) · cites this paper as [44]
Latency in distributed control increases beyond 50 units.
“though latency increases beyond 50 units [44].”
From Hybrid Fault-Tolerant Control in Cooperative Robotics: Advances in Resilience and Scalability (2025) · cites this paper as [44]
Cited by
Sorted by citations
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
“…capacity [35] High costs, 20% weight [3] Electronic High detection accuracy [40] Computational spikes [10] Coordination Improved resilience [8] 15% latency [44] The benefits of hybrid systems include reliability, flexibility, and longevity, though challenges persist in complexity and validation.”
Influential
- Authors
- Ai, X., Chen, Y.-Y., & Yu, H.
- Affiliations
- Southeast University (CN)
- National University of Singapore (SG)
- Corresponding author
- Chen, Yang-Yang
- Venue
- Journal of the Franklin Institute
- Publisher
- Elsevier BV
- Published
- 2024-01
- Volume
- 361
- Issue
- 1
- Pages
- 248-264
- ISSN
- 0016-0032 (ISSN-L)
- OpenAlex
- W4388822238
- Cited by
- 12
- References
- 0
- Citations by year
- 2026: 5 · 2025: 3 · 2024: 4
- FWCI
- 1.33
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of the Franklin Institute (publishedVersion)
- Funders
- Southeast University (62373097)
- National Natural Science Foundation of China
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Distributed Control Multi-Agent Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Control and Dynamics of Mobile Robots
- Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
- Keywords
- fault-tolerant control, formation tracking, mobile robots, time-varying input delay, actuator faults, loss of effectiveness faults, adaptive compensation, artificial neural networks, nonholonomic mobile robots, Lyapunov-Krasovskii functional
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
