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Novel Resilient State Estimation Method for Process Control in Cyber-Physical Systems

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Ensuring control systems are resilient and robust are key in thwarting malicious attacks to process safety.

Control systems are a vital component of cyber-physical systems.

Credit: Daegu Gyeongbuk Institute of Science and Technology

Researchers at South Korea's Daegu Gyeongbuk Institute of Science and Technology (DGIST) and Hyundai Motor Company have developed a method of estimating a cyber-physical system's (CPS) internal process variables when external sensors have been corrupted.

The new resilient state estimation method uses unknown input observer (UIO) to ensure state estimation can withstand malicious attacks and external disturbances.

The estimates from each sensor's UIO are combined, and the error is processed to determine the true value of a system's internal state.

The researchers also developed a "partial-state UIO" technique that extracts as much partial-state information as possible from each sensor if full extraction is not possible.

DGIST's Yongsoon Eun said, "The proposed method gives a system a level of tolerance for faults and attacks and, in cases where it is inevitable, allows graceful degradation of system functionality. This makes it crucial to the design of CPS."

From Daegu Gyeongbuk Institute of Science and Technology Research News (South Korea)
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Abstracts Copyright © 2021 SmithBucklin, Washington, DC, USA


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