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Author

Ye XuFollow

Document Type

Open Access Dissertation

Degree Name

Doctor of Philosophy (PhD)

Degree Program

Electrical and Computer Engineering

Year Degree Awarded

2017

Month Degree Awarded

September

First Advisor

Israel Koren

Second Advisor

C Mani Krishna

Subject Categories

Artificial Intelligence and Robotics | Computer and Systems Architecture | Computer Engineering | Controls and Control Theory | Robotics | Systems Architecture | Theory and Algorithms

Abstract

Cyber-physical systems frequently have to use massive redundancy to meet application requirements for high reliability. While such redundancy is required, it can be activated adaptively, based on the current state of the controlled plant. Most of the time the physical plant is in a state that allows for a lower level of fault-tolerance. Avoiding the continuous deployment of massive fault-tolerance will greatly reduce the workload of CPSs. In this dissertation, we demonstrate a software simulation framework (AdaFT) that can automatically generate the sub-spaces within which our adaptive fault-tolerance can be applied. We also show the theoretical benefits of AdaFT, and its actual implementation in several real-world CPSs.

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