Next Article in Journal
Vibration Measurement Method of a String in Transversal Motion by Using a PSD
Next Article in Special Issue
Hierarchical Stereo Matching in Two-Scale Space for Cyber-Physical System
Previous Article in Journal
Sensing Responses Based on Transfer Characteristics of InAs Nanowire Field-Effect Transistors
Previous Article in Special Issue
SLAE–CPS: Smart Lean Automation Engine Enabled by Cyber-Physical Systems Technologies
Article Menu
Issue 7 (July) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(7), 1644; https://doi.org/10.3390/s17071644

Minding the Cyber-Physical Gap: Model-Based Analysis and Mitigation of Systemic Perception-Induced Failure

1,2,* and 3,4
1
Researcher, William Davidson Faculty of Industrial Engineering and Management, Technion—Israel Institute of Technology, Haifa 32000, Israel
2
Senior Systems Architect, Motorola Solutions Israel, Airport City 70099, Israel
3
Harry Lebensfeld Chair of Industrial Engineering, William Davidson Faculty of Industrial Engineering and Management, Technion—Israel Institute of Technology, Haifa 32000, Israel
4
Visiting Professor, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
*
Author to whom correspondence should be addressed.
Received: 24 June 2017 / Revised: 12 July 2017 / Accepted: 13 July 2017 / Published: 17 July 2017
View Full-Text   |   Download PDF [9267 KB, uploaded 21 July 2017]   |  

Abstract

The cyber-physical gap (CPG) is the difference between the ‘real’ state of the world and the way the system perceives it. This discrepancy often stems from the limitations of sensing and data collection technologies and capabilities, and is inevitable at some degree in any cyber-physical system (CPS). Ignoring or misrepresenting such limitations during system modeling, specification, design, and analysis can potentially result in systemic misconceptions, disrupted functionality and performance, system failure, severe damage, and potential detrimental impacts on the system and its environment. We propose CPG-Aware Modeling & Engineering (CPGAME), a conceptual model-based approach to capturing, explaining, and mitigating the CPG. CPGAME enhances the systems engineer’s ability to cope with CPGs, mitigate them by design, and prevent erroneous decisions and actions. We demonstrate CPGAME by applying it for modeling and analysis of the 1979 Three Miles Island 2 nuclear accident, and show how its meltdown could be mitigated. We use ISO-19450:2015—Object Process Methodology as our conceptual modeling framework. View Full-Text
Keywords: conceptual modeling; cyber-physical systems; cyber-physical gap; object-process methodology; model-based systems engineering; Three Mile Island 2 Accident conceptual modeling; cyber-physical systems; cyber-physical gap; object-process methodology; model-based systems engineering; Three Mile Island 2 Accident
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Supplementary material

Share & Cite This Article

MDPI and ACS Style

Mordecai, Y.; Dori, D. Minding the Cyber-Physical Gap: Model-Based Analysis and Mitigation of Systemic Perception-Induced Failure. Sensors 2017, 17, 1644.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top