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Future directions in control in an information-rich world
Open accessAbstract
The Panel on Future Directions in Control, Dynamics, and Systems was formed in April 2000 to provide a renewed vision of future challenges and opportunities in the control field, along with recommendations to government agencies, universities, and research organizations to ensure continued progress in areas of importance to the industrial and defense base. The panel released a report in April 2002, the intent of which is to raise the overall visibility of research in control, highlight its importance in applications of national interest, and indicate some of the key trends that are important for continued vitality of the field. After a brief introduction, we summarize the report, discuss its applications and education and outreach, and conclude with some recommendations.
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Citations
Cited by
Bibliographical review on reconfigurable fault-tolerant control systems
Zhang, Y., & Jiang, J. (2008) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2008.03.008 · Cited by 2,652
Software Engineering for Self-Adaptive Systems: A Second Research Roadmap
de Lemos, R., Giese, H., Müller, H. A., Shaw, M., Andersson, J., Litoiu, M., Schmerl, B., Tamura, G., Villegas, N. M., Vogel, T., et al. (2013) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-35813-5_1 · Cited by 716
From experiment design to closed-loop control
Hjalmarsson, H. (2005) · Automatica · doi:10.1016/j.automatica.2004.11.021 · Cited by 506
Identification for Control: From the Early Achievements to the Revival of Experiment Design*
Gevers, M. (2005) · European Journal of Control · doi:10.3166/ejc.11.335-352 · Cited by 329
Parker, L. E., Rus, D., & Sukhatme, G. S. (2016) · Springer Handbooks · doi:10.1007/978-3-319-32552-1_53 · Cited by 290
Metadata
- Venue
- IEEE Control Systems
- Published
- 2003-04
- Volume
- 23
- Issue
- 2
- Pages
- 20-33
- ISSN
- 1066-033X (ISSN-L)
- 1941-000X
- OpenAlex
- W2100815285
- Cited by
- 367
- References
- 0
- FWCI
- 46.55
- Type
- journal article
- Language
- en
- Open access
- green
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
