The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
An Overview and Deep Investigation on Sampled-Data-Based Event-Triggered Control and Filtering for Networked Systems
Abstract
This paper provides an overview and makes a deep investigation on sampled-data-based event-triggered control and filtering for networked systems. Compared with some existing event-triggered and self-triggered schemes, a sampled-data-based event-triggered scheme can ensure a positive minimum inter-event time and make it possible to jointly design suitable feedback controllers and event-triggered threshold parameters. Thus, more attention has been paid to the sampled-data-based event-triggered scheme. A deep investigation is first made on the sampled-data-based event-triggered scheme. Then, recent results on sampled-data-based event-triggered state feedback control, dynamic output feedback control, H∞filtering for networked systems are surveyed and analyzed. An overview on sampled-data-based event-triggered consensus for distributed multiagent systems is given. Finally, some challenging issues are addressed to direct the future research.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Consensus Problems in Networks of Agents With Switching Topology and Time-Delays
Olfati-Saber, R., & Murray, R. M. (2004) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2004.834113 · Cited by 12,788 · cited 2×
“In [79], two types of consensus protocols are proposed for two different cases: 1)”
BackgroundConsensus and Cooperation in Networked Multi-Agent Systems
Olfati-Saber, R., Fax, J. A., & Murray, R. M. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.887293 · Cited by 10,522 · cited 1×
“Since the pioneer work of Olfati–Saber and Murray (2004) [79], a consensus problem of distributed MASs has become a very attractive research topic due to its wide applications in cooperative control of mobile robots, formation control of unmanned vehicles, and so on [80], [81].”
BackgroundDistributed Consensus in Multi-vehicle Cooperative Control
Ren, W., & Beard, R. W. (2008) · Communications and Control Engineering · doi:10.1007/978-1-84800-015-5 · Cited by 2,826
Optimal Sampled-Data Control Systems
Chen, T., & Francis, B. A. (1995) · doi:10.1007/978-1-4471-3037-6 · Cited by 2,217 · cited 1×
“Time-triggered control paves an easy way to design suitable controllers using a fruitful sampled-data system theory [1], [2].”
MethodNeural Network-Based Event-Triggered State Feedback Control of Nonlinear Continuous-Time Systems
Sahoo, A., Xu, H., & Jagannathan, S. (2016) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2015.2416259 · Cited by 292
Cited by
A survey on recent advances in distributed sampled-data cooperative control of multi-agent systems
Ge, X., Han, Q.-L., Ding, D., Zhang, X.-M., & Ning, B. (2018) · Neurocomputing · doi:10.1016/j.neucom.2017.10.008 · Cited by 389
Self-citationDistributed Optimization for Multiagent Systems: An Edge-Based Fixed-Time Consensus Approach
Ning, B., Han, Q.-L., & Zuo, Z. (2019) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2017.2766762 · Cited by 328
Self-citationYu, H., & Chen, T. (2024) · Automatica · doi:10.1016/j.automatica.2024.111798 · Cited by 14
Metadata
- Authors
- Zhang, X.-M., Han, Q.-L., & Zhang, B.-L.
- Venue
- IEEE Transactions on Industrial Informatics
- Published
- 2017-02
- Volume
- 13
- Issue
- 1
- Pages
- 4-16
- ISSN
- 1551-3203 (ISSN-L)
- 1941-0050
- OpenAlex
- W2515370279
- Cited by
- 772
- References
- 5
- FWCI
- 73.51
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: An Overview and Deep Investigation on Sampled-Data-Based Event-Triggered Control and Filtering for Networked Systems. https://app.cochat.ai/papers/10.1109/tii.2016.2607150
- The paper
- Zhang, X.-M., Han, Q.-L., & Zhang, B.-L. (2017). An Overview and Deep Investigation on Sampled-Data-Based Event-Triggered Control and Filtering for Networked Systems. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/tii.2016.2607150
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
