Doctoral Dissertations

Jing Lin

Keywords and Phrases

Failure mitigation

Abstract

"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.

Advisor(s)

Sedigh, Sahra

Committee Member(s)

Choi, Minsu
McMillin, Bruce M.
Zawodniok, Maciej Jan, 1975-
Hurson, A. R.

Department(s)

Electrical and Computer Engineering

Degree Name

Ph. D. in Computer Engineering

Sponsor(s)

Missouri University of Science and Technology. Intelligent Systems Center
National Science Foundation (U.S.)
United States. Department of Transportation

Research Center/Lab(s)

Intelligent Systems Center

Publisher

Missouri University of Science and Technology

Publication Date

Fall 2011

Pagination

xii, 132 pages

Note about bibliography

Includes bibliographical references (pages 127-131).

Rights

© 2011 Jing Lin, All rights reserved.

Document Type

Dissertation - Open Access

File Type

text

Language

English

Subject Headings

Embedded computer systems -- Analysis
Intelligent agents (Computer software)

Thesis Number

T 9899

Print OCLC #

794734733

Electronic OCLC #

747993601

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