Agent based analysis and mitigation of failure for cyber physical systems
Keywords and Phrases
"Techniques exist for assessment, modeling, and simulation of physical and cyber infrastructures, respectively; but such isolated analysis is incapable of fully capturing the interdependencies that occur when they intertwine to create a cyber-physical system (CPS). The first contribution of this doctoral research includes qualitative representation of the operation of a CPS in a single multi-agent model. Dependable operation of a CPS is contingent upon correct interpretation of data describing the state of the system. To this end, we propose agent-based semantic interpretation services that extract useful information from raw sensor data. We utilize the summary schemas model to reconcile differences in data resolution, syntax, and semantics; and to facilitate imprecise query of databases that maintain historical information, including failure mitigation techniques. Another contribution of the research is in developing ontologies that enable automated reasoning in the classification and mitigation of failures in CPS operation. As a measure of dependability, we quantify the effectiveness of our proposed ontology-based approach in identifying correct mitigation techniques. Our methodology and models are applicable to a broad range of CPSs; however, they are described in the context of intelligent water distribution networks (WDNs), which are cyber-physical critical infrastructure systems responsible for reliable delivery of potable water. We illustrate the use of game theory in agent-based decision support for allocation of water. As a precursor to empirical validation with field data, we developed an integrated cyber-physical WDN simulator using EPANET and MATLAB, and illustrate the use of this simulator in validating our agent-based model and ontology-based approach to automated mitigation of failure"--Abstract, page iii.
McMillin, Bruce M.
Zawodniok, Maciej Jan, 1975-
Hurson, A. R.
Electrical and Computer Engineering
Ph. D. in Computer Engineering
Missouri University of Science and Technology. Intelligent Systems Center
National Science Foundation (U.S.)
United States. Department of Transportation
Missouri University of Science and Technology
xii, 132 pages
© 2011 Jing Lin, All rights reserved.
Dissertation - Open Access
Library of Congress Subject Headings
Embedded computer systems -- Analysis
Intelligent agents (Computer software)
Print OCLC #
Electronic OCLC #
Link to Catalog Recordhttp://laurel.lso.missouri.edu/record=b8621120~S5
Lin, Jing, "Agent-based analysis and mitigation of failure for cyber-physical systems" (2011). Doctoral Dissertations. 1909.