A Brief Overview of Optimal Robust Control Strategies for a Benchmark Power System with Different Cyberphysical Attacks
Security issue against different attacks is the core topic of cyberphysical systems (CPSs). In this paper, optimal control theory, reinforcement learning (RL), and neural networks (NNs) are integrated to provide a brief overview of optimal robust control strategies for a benchmark power system. Firs...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/6646799 |
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| author | Bo Hu Hao Wang Yan Zhao Hang Zhou Mingkun Jiang Mofan Wei |
| author_facet | Bo Hu Hao Wang Yan Zhao Hang Zhou Mingkun Jiang Mofan Wei |
| author_sort | Bo Hu |
| collection | DOAJ |
| description | Security issue against different attacks is the core topic of cyberphysical systems (CPSs). In this paper, optimal control theory, reinforcement learning (RL), and neural networks (NNs) are integrated to provide a brief overview of optimal robust control strategies for a benchmark power system. First, the benchmark power system models with actuator and sensor attacks are considered. Second, we investigate the optimal control issue for the nominal system and review the state-of-the-art RL methods along with the NN implementation. Third, we propose several robust control strategies for different types of cyberphysical attacks via the optimal control design, and stability proofs are derived through Lyapunov theory. Furthermore, the stability analysis with the NN approximation error, which is rarely discussed in the previous works, is studied in this paper. Finally, two different simulation examples demonstrate the effectiveness of our proposed methods. |
| format | Article |
| id | doaj-art-5e089a57a81341c3a2178fcae738b35a |
| institution | OA Journals |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-5e089a57a81341c3a2178fcae738b35a2025-08-20T02:06:03ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/66467996646799A Brief Overview of Optimal Robust Control Strategies for a Benchmark Power System with Different Cyberphysical AttacksBo Hu0Hao Wang1Yan Zhao2Hang Zhou3Mingkun Jiang4Mofan Wei5State Grid Liaoning Electric Power Supply Co. Ltd.,, Shenyang 110004, ChinaSchool of Renewable Energy, Shenyang Institute of Engineering, Shenyang 110136, ChinaSchool of Renewable Energy, Shenyang Institute of Engineering, Shenyang 110136, ChinaSchool of Renewable Energy, Shenyang Institute of Engineering, Shenyang 110136, ChinaSchool of Renewable Energy, Shenyang Institute of Engineering, Shenyang 110136, ChinaSchool of Renewable Energy, Shenyang Institute of Engineering, Shenyang 110136, ChinaSecurity issue against different attacks is the core topic of cyberphysical systems (CPSs). In this paper, optimal control theory, reinforcement learning (RL), and neural networks (NNs) are integrated to provide a brief overview of optimal robust control strategies for a benchmark power system. First, the benchmark power system models with actuator and sensor attacks are considered. Second, we investigate the optimal control issue for the nominal system and review the state-of-the-art RL methods along with the NN implementation. Third, we propose several robust control strategies for different types of cyberphysical attacks via the optimal control design, and stability proofs are derived through Lyapunov theory. Furthermore, the stability analysis with the NN approximation error, which is rarely discussed in the previous works, is studied in this paper. Finally, two different simulation examples demonstrate the effectiveness of our proposed methods.http://dx.doi.org/10.1155/2021/6646799 |
| spellingShingle | Bo Hu Hao Wang Yan Zhao Hang Zhou Mingkun Jiang Mofan Wei A Brief Overview of Optimal Robust Control Strategies for a Benchmark Power System with Different Cyberphysical Attacks Complexity |
| title | A Brief Overview of Optimal Robust Control Strategies for a Benchmark Power System with Different Cyberphysical Attacks |
| title_full | A Brief Overview of Optimal Robust Control Strategies for a Benchmark Power System with Different Cyberphysical Attacks |
| title_fullStr | A Brief Overview of Optimal Robust Control Strategies for a Benchmark Power System with Different Cyberphysical Attacks |
| title_full_unstemmed | A Brief Overview of Optimal Robust Control Strategies for a Benchmark Power System with Different Cyberphysical Attacks |
| title_short | A Brief Overview of Optimal Robust Control Strategies for a Benchmark Power System with Different Cyberphysical Attacks |
| title_sort | brief overview of optimal robust control strategies for a benchmark power system with different cyberphysical attacks |
| url | http://dx.doi.org/10.1155/2021/6646799 |
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