The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
The Emergence of Industrial Control Networks for Manufacturing Control, Diagnostics, and Safety Data
Abstract
The most notable trend in manufacturing over the past five years is probably the move towards networks at all levels. At lower levels in the factory infrastructure, networks provide higher reliability, visibility, and diagnosability, and enable capabilities such as distributed control, diagnostics, safety, and device interoperability. At higher levels, networks can leverage internet services to enable factory-wide automated scheduling, control, and diagnostics; improve data storage and visibility; and open the door to e-manufacturing. This paper explores current trends in the use of networks for distributed, multilevel control, diagnostics, and safety. Network performance characteristics such as delay, delay variability, and determinism are evaluated in the context of networked control applications. This paper also discusses future networking trends in each of these categories and describes the actual application of all three categories of networks on a reconfigurable factory testbed (RFT) at the University of Michigan. Control, diagnostics, and safety systems are all enabled in the RFT utilizing multitier networked technology including DeviceNet, PROFIBUS, OPC, wired and wireless Ethernet, and SafetyBUS p. This paper concludes with a discussion of trends in industrial networking, including the move to wireless for all categories, and the issues that must be addressed to realize these trends
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
Bertsekas, D. P., & Gallager, R. G. (1987) · Cited by 5,561
Feedback control of dynamic systems
Kahne, S. (1987) · Automatica · doi:10.1016/0005-1098(87)90017-3 · Cited by 3,450
Time-delay systems: an overview of some recent advances and open problems
Richard, J.-P. (2003) · Automatica · doi:10.1016/s0005-1098(03)00167-5 · Cited by 3,353
Digital control of dynamic systems
Franklin, G. F., Workman, M. L., & Powell, D. (1980) · International Linear Collider · Cited by 3,188
Digital control of dynamic systems
Koivo, H. N. (1983) · Automatica · doi:10.1016/0005-1098(83)90065-1 · Cited by 1,956
Bertsekas, D. P., & Gallager, R. G. (1992) · Prentice-Hall, Inc eBooks · Cited by 852
Stability and Control of Time-delay Systems
(1998) · Lecture Notes in Control and Information Sciences · doi:10.1007/bfb0027478 · Cited by 661
Wireless Technology in Industrial Networks
Willig, A., Matheus, K., & Wolisz, A. (2005) · Proceedings of the IEEE · doi:10.1109/jproc.2005.849717 · Cited by 661
Network design consideration for distributed control systems
Lian, F., Moyne, J. R., & Tilbury, D. M. (2002) · IEEE Transactions on Control Systems Technology · doi:10.1109/87.987076 · Cited by 519
Self-citationGuest Editorial Special Issue on Networked Control Systems
Antsaklis, P., & Baillieul, J. (2004) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2004.835210 · Cited by 463
Ethernet-Based Real-Time and Industrial Communications
Decotignie, J.-D. (2005) · Proceedings of the IEEE · doi:10.1109/jproc.2005.849721 · Cited by 435
Security for Industrial Communication Systems
Dzung, D., Naedele, M., Von Hoff, T. P., & Crevatin, M. (2005) · Proceedings of the IEEE · doi:10.1109/jproc.2005.849714 · Cited by 386
Using deadbands to reduce communication in networked control systems
Otanez, P. G., Moyne, J. R., & Tilbury, D. M. (2002) · Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301) · doi:10.1109/acc.2002.1025251 · Cited by 312
Self-citationFieldbus Technology in Industrial Automation
Thomesse, J.-P. (2005) · Proceedings of the IEEE · doi:10.1109/jproc.2005.849724 · Cited by 293
The Ethernet capture effect: analysis and solution
Ramakrishnan, K. K., & Yang, H. (2002) · Conference on Local Computer Networks · doi:10.1109/lcn.1994.386597 · Cited by 97
Recent advances in control of time delay systems-a tutorial review
Watanabe, K., Nobuyama, E., & Kojima, A. (2002) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.1996.572898 · Cited by 85
Understanding and using OPC for maintenance and reliability applications
Holley, D. W. (2004) · Computing & Control Engineering Journal · doi:10.1049/cce:20040106 · Cited by 31
Experimental determination of network quality of service in Ethernet: UDP, OPC, and VPN
Parrott, J., Moyne, J. R., & Tilbury, D. M. (2006) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2006.1657491 · Cited by 17
Self-citation
Cited by
Recent and Emerging Topics in Wireless Industrial Communications: A Selection
Willig, A. (2008) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2008.923194 · Cited by 656
Introduction to Industrial Control Networks
Galloway, B., & Hancke, G. P. (2013) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2012.071812.00124 · Cited by 548
Zhang, X.-M., Han, Q.-L., Ge, X., & Ding, L. (2020) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2019.2956137 · Cited by 373
The Tactile Internet for Industries: A Review
Aijaz, A., & Sooriyabandara, M. (2019) · Proceedings of the IEEE · doi:10.1109/jproc.2018.2878265 · Cited by 169
Laszka, A., Abbas, W., Vorobeychik, Y., & Koutsoukos, X. (2020) · Cyber-Physical Systems · doi:10.1080/23335777.2019.1624620 · Cited by 22
Metadata
- Authors
- Moyne, J. R., & Tilbury, D. M.
- Venue
- Proceedings of the IEEE
- Published
- 2007-01
- Volume
- 95
- Issue
- 1
- Pages
- 29-47
- ISSN
- 0018-9219 (ISSN-L)
- OpenAlex
- W1964968026
- Cited by
- 272
- References
- 18
- FWCI
- 49.94
- 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
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.