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Robust Temporal Logic Inference for Provably Correct Fault Detection and Privacy Preservation of Switched Systems
In complex cyber-physical system operations, fault detection needs to be performed using limited state information for practicality and privacy concerns. While a well-designed observation can distinguish a faulty behavior from the normal behavior, it can also represent the action of hiding some of t...
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Published in: | IEEE systems journal 2019-09, Vol.13 (3), p.3010-3021 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | In complex cyber-physical system operations, fault detection needs to be performed using limited state information for practicality and privacy concerns. While a well-designed observation can distinguish a faulty behavior from the normal behavior, it can also represent the action of hiding some of the state information or discrete mode switchings. In this paper, we present a method for constructing the observation maps in the form of metric temporal logic (MTL) formulas that can be formally proven to detect fault in a switched system, while preserving certain privacy conditions. We provide a theoretical framework of robust temporal logic inference for classification of switched system trajectories with spatial and temporal uncertainties. We simulate finitely many nominal trajectories and use the robust neighborhoods around the simulated trajectories to cover the infinite trajectories that constitute the system behavior. Thus, the designed observation maps with the inferred MTL formulas can detect fault and preserve privacy in a provably correct fashion. Our approach is implemented on the simulation model of a smart building testbed to detect thermal leakage in the room, while preserving multiple privacy conditions of the room occupancy. |
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ISSN: | 1932-8184 1937-9234 |
DOI: | 10.1109/JSYST.2019.2906160 |