Doctoral Dissertations

Shanshan Bi

Keywords and Phrases

Cyber-Physical System; Cyber Security; Fault Diagnosis And Prognosis; Fault Tolerant Control; Network Routing

Abstract

"In this dissertation, several novel cyber fault diagnosis and prognosis and defense methodologies for cyber-physical systems have been proposed. First, a novel routing scheme for wireless mesh network is proposed. An effective capacity estimation for P2P and E2E path is designed to guarantee the vital transmission safety. This scheme can ensure a high quality of service (QoS) under imperfect network condition, even cyber attacks. Then, the imperfection, uncertainties, and dynamics in the cyberspace are considered both in system model and controller design. A PDF identifier is proposed to capture the time-varying delays and its distribution. With the modification of traditional stochastic optimal control using PDF of delays, the assumption of full knowledge of network imperfection in priori is relaxed. This proposed controller is considered a novel resilience control strategy for cyber fault diagnosis and prognosis. After that, we turn to the development of a general framework for cyber fault diagnosis and prognosis schemes for CPSs wherein the cyberspace performance affect the physical system and vice versa. A novel cyber fault diagnosis scheme is proposed. It is capable of detecting cyber fault by monitoring the probability of delays. Also, the isolation of cyber and physical system fault is achieved with cooperating with the traditional observer based physical system fault detection. Next, a novel cyber fault prognosis scheme, which can detect and estimate cyber fault and its negative effects on system performance ahead of time, is proposed. Moreover, soft and hard cyber faults are isolated depending on whether potential threats on system stability is predicted. Finally, one-class SVM is employed to classify healthy and erroneous delays. Then, another cyber fault prognosis based on OCSVM is proposed"--Abstract, page iv.

Advisor(s)

Zawodniok, Maciej Jan, 1975-

Committee Member(s)

Sarangapani, Jagannathan, 1965-
Çetinkaya, Egemen K.
Huang, Jie
Yin, Zhaozheng

Department(s)

Electrical and Computer Engineering

Degree Name

Ph. D. in Electrical Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2018

Journal article titles appearing in thesis/dissertation

  • Effective capacity estimation for routing path selection in wireless mesh networks
  • PDF-based tuning of stochastic optimal controller design for cyber-physical systems with uncertain De lay dynamics
  • A novel cyber network fault diagnosis scheme for cyber-physical systems
  • A novel cyber fault prognosis and resilience control for cyber-physical systems
  • One-class SVM-based cyber network fault prognostics in cyber-physical systems

Pagination

xiv, 174 pages

Note about bibliography

Includes bibliographic references.

Rights

© 2018 Shanshan Bi, All rights reserved.

Document Type

Dissertation - Open Access

File Type

text

Language

English

Thesis Number

T 11268

Electronic OCLC #

1041857192

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