PD-Like H<sub>∞</sub> Control for Large-Scale Stochastic Nonlinear Systems Under Denial-of-Service Attacks
This paper focuses on the observer-based H<sub>∞</sub> control issue for large-scale systems under denial-of-service attacks. Due to the security vulnerability of communication networks, adversaries have the capability to hamper the system normal operation by blocking the sign...
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9291067/ |
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doaj-9567bd7a9f30479eb6592336f2fd61fa2021-03-30T04:29:44ZengIEEEIEEE Access2169-35362020-01-01822263522264410.1109/ACCESS.2020.30441479291067PD-Like H<sub>∞</sub> Control for Large-Scale Stochastic Nonlinear Systems Under Denial-of-Service AttacksYing Sun0Derui Ding1https://orcid.org/0000-0001-7402-6682Guoliang Wei2School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, ChinaSchool of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, ChinaCollege of Science, University of Shanghai for Science and Technology, Shanghai, ChinaThis paper focuses on the observer-based H<sub>∞</sub> control issue for large-scale systems under denial-of-service attacks. Due to the security vulnerability of communication networks, adversaries have the capability to hamper the system normal operation by blocking the signal exchange in both sensor-to-observer channels and the observer-to-observer channels. Under this scenario, a decentralized proportional-derivative-like controller is employed to realize the predetermined H<sub>∞</sub> performance while considering the improvement of dynamic response of closed-loop systems. By using the Lyapunov stability theory, a sufficient condition dependent on the attack occurring probability is established to realize the desired control performance. Furthermore, in light of the established condition, the desired controller and observer gains are formalized by resorting to the orthogonal decomposition of control matrix. Finally, the effectiveness and practicability of the control scheme are illustrated by resorting to the numerical simulation of a four area power system.https://ieeexplore.ieee.org/document/9291067/Large-scale systemsproportional-derivative-like controldenial-of-service attacks<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">H</italic>∞ performance |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Ying Sun Derui Ding Guoliang Wei |
| spellingShingle |
Ying Sun Derui Ding Guoliang Wei PD-Like H<sub>∞</sub> Control for Large-Scale Stochastic Nonlinear Systems Under Denial-of-Service Attacks IEEE Access Large-scale systems proportional-derivative-like control denial-of-service attacks <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">H</italic>∞ performance |
| author_facet |
Ying Sun Derui Ding Guoliang Wei |
| author_sort |
Ying Sun |
| title |
PD-Like H<sub>∞</sub> Control for Large-Scale Stochastic Nonlinear Systems Under Denial-of-Service Attacks |
| title_short |
PD-Like H<sub>∞</sub> Control for Large-Scale Stochastic Nonlinear Systems Under Denial-of-Service Attacks |
| title_full |
PD-Like H<sub>∞</sub> Control for Large-Scale Stochastic Nonlinear Systems Under Denial-of-Service Attacks |
| title_fullStr |
PD-Like H<sub>∞</sub> Control for Large-Scale Stochastic Nonlinear Systems Under Denial-of-Service Attacks |
| title_full_unstemmed |
PD-Like H<sub>∞</sub> Control for Large-Scale Stochastic Nonlinear Systems Under Denial-of-Service Attacks |
| title_sort |
pd-like h<sub>∞</sub> control for large-scale stochastic nonlinear systems under denial-of-service attacks |
| publisher |
IEEE |
| series |
IEEE Access |
| issn |
2169-3536 |
| publishDate |
2020-01-01 |
| description |
This paper focuses on the observer-based H<sub>∞</sub> control issue for large-scale systems under denial-of-service attacks. Due to the security vulnerability of communication networks, adversaries have the capability to hamper the system normal operation by blocking the signal exchange in both sensor-to-observer channels and the observer-to-observer channels. Under this scenario, a decentralized proportional-derivative-like controller is employed to realize the predetermined H<sub>∞</sub> performance while considering the improvement of dynamic response of closed-loop systems. By using the Lyapunov stability theory, a sufficient condition dependent on the attack occurring probability is established to realize the desired control performance. Furthermore, in light of the established condition, the desired controller and observer gains are formalized by resorting to the orthogonal decomposition of control matrix. Finally, the effectiveness and practicability of the control scheme are illustrated by resorting to the numerical simulation of a four area power system. |
| topic |
Large-scale systems proportional-derivative-like control denial-of-service attacks <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">H</italic>∞ performance |
| url |
https://ieeexplore.ieee.org/document/9291067/ |
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