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Cross-Domain Noise Impact Evaluation for Black Box Two-Level Control CPS.

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Cross-Domain Noise Impact Evaluation for Black Box Two-Level Control CPS. / Tan, Feng; Liu, Liansheng; Winter, Stefan et al.
In: TCPS, Vol. 3, No. 1, 2, 01.01.2019.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Tan, F, Liu, L, Winter, S, Wang, Q, Suri, N, Bu, L, Peng, Y, Liu, X & Peng, X 2019, 'Cross-Domain Noise Impact Evaluation for Black Box Two-Level Control CPS.', TCPS, vol. 3, no. 1, 2. https://doi.org/10.1145/3226029

APA

Tan, F., Liu, L., Winter, S., Wang, Q., Suri, N., Bu, L., Peng, Y., Liu, X., & Peng, X. (2019). Cross-Domain Noise Impact Evaluation for Black Box Two-Level Control CPS. TCPS, 3(1), Article 2. https://doi.org/10.1145/3226029

Vancouver

Tan F, Liu L, Winter S, Wang Q, Suri N, Bu L et al. Cross-Domain Noise Impact Evaluation for Black Box Two-Level Control CPS. TCPS. 2019 Jan 1;3(1):2. doi: 10.1145/3226029

Author

Tan, Feng ; Liu, Liansheng ; Winter, Stefan et al. / Cross-Domain Noise Impact Evaluation for Black Box Two-Level Control CPS. In: TCPS. 2019 ; Vol. 3, No. 1.

Bibtex

@article{3ecfdb7256874981a4df31a29211743d,
title = "Cross-Domain Noise Impact Evaluation for Black Box Two-Level Control CPS.",
abstract = "Control Cyber-Physical Systems (CPSs) constitute a major category of CPS. In control CPSs, in addition to the well-studied noises within the physical subsystem, we are interested in evaluating the impact of cross-domain noise: the noise that comes from the physical subsystem, propagates through the cyber subsystem, and goes back to the physical subsystem. Impact of cross-domain noise is hard to evaluate when the cyber subsystem is a black box, which cannot be explicitly modeled. To address this challenge, this article focuses on the two-level control CPS, a widely adopted control CPS architecture, and proposes an emulation based evaluation methodology framework. The framework uses hybrid model reachability to quantify the cross-domain noise impact, and exploits Lyapunov stability theories to reduce the evaluation benchmark size. We validated the effectiveness and efficiency of our proposed framework on a representative control CPS testbed. Particularly, 24.1% of evaluation effort is saved using the proposed benchmark shrinking technology.",
author = "Feng Tan and Liansheng Liu and Stefan Winter and Qixin Wang and Neeraj Suri and Lei Bu and Yu Peng and Xue Liu and Xiyuan Peng",
year = "2019",
month = jan,
day = "1",
doi = "10.1145/3226029",
language = "English",
volume = "3",
journal = "TCPS",
number = "1",

}

RIS

TY - JOUR

T1 - Cross-Domain Noise Impact Evaluation for Black Box Two-Level Control CPS.

AU - Tan, Feng

AU - Liu, Liansheng

AU - Winter, Stefan

AU - Wang, Qixin

AU - Suri, Neeraj

AU - Bu, Lei

AU - Peng, Yu

AU - Liu, Xue

AU - Peng, Xiyuan

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Control Cyber-Physical Systems (CPSs) constitute a major category of CPS. In control CPSs, in addition to the well-studied noises within the physical subsystem, we are interested in evaluating the impact of cross-domain noise: the noise that comes from the physical subsystem, propagates through the cyber subsystem, and goes back to the physical subsystem. Impact of cross-domain noise is hard to evaluate when the cyber subsystem is a black box, which cannot be explicitly modeled. To address this challenge, this article focuses on the two-level control CPS, a widely adopted control CPS architecture, and proposes an emulation based evaluation methodology framework. The framework uses hybrid model reachability to quantify the cross-domain noise impact, and exploits Lyapunov stability theories to reduce the evaluation benchmark size. We validated the effectiveness and efficiency of our proposed framework on a representative control CPS testbed. Particularly, 24.1% of evaluation effort is saved using the proposed benchmark shrinking technology.

AB - Control Cyber-Physical Systems (CPSs) constitute a major category of CPS. In control CPSs, in addition to the well-studied noises within the physical subsystem, we are interested in evaluating the impact of cross-domain noise: the noise that comes from the physical subsystem, propagates through the cyber subsystem, and goes back to the physical subsystem. Impact of cross-domain noise is hard to evaluate when the cyber subsystem is a black box, which cannot be explicitly modeled. To address this challenge, this article focuses on the two-level control CPS, a widely adopted control CPS architecture, and proposes an emulation based evaluation methodology framework. The framework uses hybrid model reachability to quantify the cross-domain noise impact, and exploits Lyapunov stability theories to reduce the evaluation benchmark size. We validated the effectiveness and efficiency of our proposed framework on a representative control CPS testbed. Particularly, 24.1% of evaluation effort is saved using the proposed benchmark shrinking technology.

U2 - 10.1145/3226029

DO - 10.1145/3226029

M3 - Journal article

VL - 3

JO - TCPS

JF - TCPS

IS - 1

M1 - 2

ER -