Preset-Time Tracking Control for Nonlinear Cyber-Physical Systems Against Cyber Attacks
In this article, we developed a novel preset-time adaptive fuzzy tracking control strategy to dispose of the preset-time tracking control issue for a family of nonlinear cyber-physical systems (CPSs), which are subject to spiteful actuator attacks occurring in controller-actuator (C-A) channel. Part...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10930767/ |
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| author | Zhiliang Chen Wei Zhang Ting Yu Yijie Liu Wang Ren Kaixiong Zhu Shilin Li |
| author_facet | Zhiliang Chen Wei Zhang Ting Yu Yijie Liu Wang Ren Kaixiong Zhu Shilin Li |
| author_sort | Zhiliang Chen |
| collection | DOAJ |
| description | In this article, we developed a novel preset-time adaptive fuzzy tracking control strategy to dispose of the preset-time tracking control issue for a family of nonlinear cyber-physical systems (CPSs), which are subject to spiteful actuator attacks occurring in controller-actuator (C-A) channel. Particularly, a new Gaussian radial basis function neural network (RBFNN) is designed as a neural estimator acting in an on-line pattern to estimate the vitriolic attacks. The designed control strategy can guarantee that the output tracking error enters a predefined small region around the equilibrium point, but also all the other states of the closed-loop system keep semi-globally practical finite-time stable (SGPFS), where the regulation time and tracking accuracy level remain prior known and could be preassigned. Significantly, the initial value of each system state is independent of the developed tracking controller and can be chosen in the constrained region specified by the designed finite-time performance function at random. Finally, a typical application instance is presented to attest the feasibility and effectiveness of the designed control approach. |
| format | Article |
| id | doaj-art-7f046590f83e4b009a50c5377aaae948 |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-7f046590f83e4b009a50c5377aaae9482025-08-20T01:52:03ZengIEEEIEEE Access2169-35362025-01-0113550945510310.1109/ACCESS.2025.355243810930767Preset-Time Tracking Control for Nonlinear Cyber-Physical Systems Against Cyber AttacksZhiliang Chen0https://orcid.org/0009-0005-8931-697XWei Zhang1Ting Yu2Yijie Liu3https://orcid.org/0000-0003-4853-8515Wang Ren4Kaixiong Zhu5Shilin Li6CCTEG Coal Mining Research Institute, Beijing, ChinaChina Coal Research Institute, Beijing, ChinaCCTEG Coal Mining Research Institute, Beijing, ChinaCCTEG Coal Mining Research Institute, Beijing, ChinaCCTEG Coal Mining Research Institute, Beijing, ChinaCCTEG Coal Mining Research Institute, Beijing, ChinaCCTEG Coal Mining Research Institute, Beijing, ChinaIn this article, we developed a novel preset-time adaptive fuzzy tracking control strategy to dispose of the preset-time tracking control issue for a family of nonlinear cyber-physical systems (CPSs), which are subject to spiteful actuator attacks occurring in controller-actuator (C-A) channel. Particularly, a new Gaussian radial basis function neural network (RBFNN) is designed as a neural estimator acting in an on-line pattern to estimate the vitriolic attacks. The designed control strategy can guarantee that the output tracking error enters a predefined small region around the equilibrium point, but also all the other states of the closed-loop system keep semi-globally practical finite-time stable (SGPFS), where the regulation time and tracking accuracy level remain prior known and could be preassigned. Significantly, the initial value of each system state is independent of the developed tracking controller and can be chosen in the constrained region specified by the designed finite-time performance function at random. Finally, a typical application instance is presented to attest the feasibility and effectiveness of the designed control approach.https://ieeexplore.ieee.org/document/10930767/Tracking controlcyber-physical systemscyber attacksexogenous interferencesfinite-time performance function |
| spellingShingle | Zhiliang Chen Wei Zhang Ting Yu Yijie Liu Wang Ren Kaixiong Zhu Shilin Li Preset-Time Tracking Control for Nonlinear Cyber-Physical Systems Against Cyber Attacks IEEE Access Tracking control cyber-physical systems cyber attacks exogenous interferences finite-time performance function |
| title | Preset-Time Tracking Control for Nonlinear Cyber-Physical Systems Against Cyber Attacks |
| title_full | Preset-Time Tracking Control for Nonlinear Cyber-Physical Systems Against Cyber Attacks |
| title_fullStr | Preset-Time Tracking Control for Nonlinear Cyber-Physical Systems Against Cyber Attacks |
| title_full_unstemmed | Preset-Time Tracking Control for Nonlinear Cyber-Physical Systems Against Cyber Attacks |
| title_short | Preset-Time Tracking Control for Nonlinear Cyber-Physical Systems Against Cyber Attacks |
| title_sort | preset time tracking control for nonlinear cyber physical systems against cyber attacks |
| topic | Tracking control cyber-physical systems cyber attacks exogenous interferences finite-time performance function |
| url | https://ieeexplore.ieee.org/document/10930767/ |
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