Resilient Control Systems—Basis, Benchmarking and Benefit
Because the research area of resilient control systems was pioneered during the last decade, the basis and benchmarking of resilience have continued to mature to achieve what has long been understood as the ultimate benefit of resilience. However, the automation “ship” has long...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9399144/ |
| _version_ | 1818458045603119104 |
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| author | Craig Rieger Kevin Schultz Thomas Carroll Timothy McJunkin |
| author_facet | Craig Rieger Kevin Schultz Thomas Carroll Timothy McJunkin |
| author_sort | Craig Rieger |
| collection | DOAJ |
| description | Because the research area of resilient control systems was pioneered during the last decade, the basis and benchmarking of resilience have continued to mature to achieve what has long been understood as the ultimate benefit of resilience. However, the automation “ship” has long since sailed on society’s dependence on digital control systems as the basis for all our industries and even the appliances in our homes. While these systems have been in general very reliable and provided for many human and operational efficiencies, the designs were not built on a framework that recognizes and adapts to potential debilitating failures from events such as cyber-attack. In this review, we cover a rapidly maturing framework based upon a disturbance and impact resilience evaluation process that considers both the methodologies for assessing resilience and also how key design principals must be applied within distributed control systems to achieve resilience. |
| first_indexed | 2024-12-14T22:52:13Z |
| format | Article |
| id | doaj.art-a65a083a6ebc4e5eaa47ce1d71e16e15 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T22:52:13Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-a65a083a6ebc4e5eaa47ce1d71e16e152022-12-21T22:44:41ZengIEEEIEEE Access2169-35362021-01-019575655757710.1109/ACCESS.2021.30718749399144Resilient Control Systems—Basis, Benchmarking and BenefitCraig Rieger0https://orcid.org/0000-0002-3198-8838Kevin Schultz1https://orcid.org/0000-0002-2664-6227Thomas Carroll2Timothy McJunkin3Idaho National Laboratory, Idaho Falls, ID, USAJohns Hopkins University Applied Physics Laboratory, Laurel, MD, USAPacific Northwest National Laboratory, Richland, WA, USAIdaho National Laboratory, Idaho Falls, ID, USABecause the research area of resilient control systems was pioneered during the last decade, the basis and benchmarking of resilience have continued to mature to achieve what has long been understood as the ultimate benefit of resilience. However, the automation “ship” has long since sailed on society’s dependence on digital control systems as the basis for all our industries and even the appliances in our homes. While these systems have been in general very reliable and provided for many human and operational efficiencies, the designs were not built on a framework that recognizes and adapts to potential debilitating failures from events such as cyber-attack. In this review, we cover a rapidly maturing framework based upon a disturbance and impact resilience evaluation process that considers both the methodologies for assessing resilience and also how key design principals must be applied within distributed control systems to achieve resilience.https://ieeexplore.ieee.org/document/9399144/Resiliencecontrolcognitivecyberinfrastructuremetrics |
| spellingShingle | Craig Rieger Kevin Schultz Thomas Carroll Timothy McJunkin Resilient Control Systems—Basis, Benchmarking and Benefit IEEE Access Resilience control cognitive cyber infrastructure metrics |
| title | Resilient Control Systems—Basis, Benchmarking and Benefit |
| title_full | Resilient Control Systems—Basis, Benchmarking and Benefit |
| title_fullStr | Resilient Control Systems—Basis, Benchmarking and Benefit |
| title_full_unstemmed | Resilient Control Systems—Basis, Benchmarking and Benefit |
| title_short | Resilient Control Systems—Basis, Benchmarking and Benefit |
| title_sort | resilient control systems x2014 basis benchmarking and benefit |
| topic | Resilience control cognitive cyber infrastructure metrics |
| url | https://ieeexplore.ieee.org/document/9399144/ |
| work_keys_str_mv | AT craigrieger resilientcontrolsystemsx2014basisbenchmarkingandbenefit AT kevinschultz resilientcontrolsystemsx2014basisbenchmarkingandbenefit AT thomascarroll resilientcontrolsystemsx2014basisbenchmarkingandbenefit AT timothymcjunkin resilientcontrolsystemsx2014basisbenchmarkingandbenefit |