Encryption–decryption-based state estimation for nonlinear complex networks subject to coupled perturbation
This paper discusses the encryption-decryption-based state estimation (EDBSE) issue for coupled perturbation complex networks (CPCNs) in the framework of the Kalman-type filtering scheme. A uniform distributed random variable is employed to characterize the coupled perturbation among different netwo...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Systems Science & Control Engineering |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/21642583.2024.2357796 |
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| author | Peixia Gao Chaoqing Jia Aozhan Zhou |
| author_facet | Peixia Gao Chaoqing Jia Aozhan Zhou |
| author_sort | Peixia Gao |
| collection | DOAJ |
| description | This paper discusses the encryption-decryption-based state estimation (EDBSE) issue for coupled perturbation complex networks (CPCNs) in the framework of the Kalman-type filtering scheme. A uniform distributed random variable is employed to characterize the coupled perturbation among different network units. A uniform-quantization-dependent encryption-decryption (UQDED) scheme is considered here to orchestrate the transmitted data. A novel EDBSE approach is developed such that the upper bounds of prediction error (PE) covariance (PEC) and estimation error (EE) covariance (EEC) can be derived by resolving Riccati-like difference equations and the estimation parameter (EP) is determined by minimizing the trace of the upper bound of EEC. Furthermore, a uniformly bounded condition is elaborated to evaluate the algorithm performance of EDBSE. Finally, an illustrative example is conducted to verify the validity of the introduced EDBSE method. |
| format | Article |
| id | doaj-art-e8574084f7414259816d6f7877ab4a0b |
| institution | OA Journals |
| issn | 2164-2583 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Systems Science & Control Engineering |
| spelling | doaj-art-e8574084f7414259816d6f7877ab4a0b2025-08-20T02:36:39ZengTaylor & Francis GroupSystems Science & Control Engineering2164-25832024-12-0112110.1080/21642583.2024.2357796Encryption–decryption-based state estimation for nonlinear complex networks subject to coupled perturbationPeixia Gao0Chaoqing Jia1Aozhan Zhou2Department of Applied Mathematics, Harbin University of Science and Technology, Harbin, People's Republic of ChinaSchool of Automation, Harbin University of Science and Technology, Harbin, People's Republic of ChinaDepartment of Applied Mathematics, Harbin University of Science and Technology, Harbin, People's Republic of ChinaThis paper discusses the encryption-decryption-based state estimation (EDBSE) issue for coupled perturbation complex networks (CPCNs) in the framework of the Kalman-type filtering scheme. A uniform distributed random variable is employed to characterize the coupled perturbation among different network units. A uniform-quantization-dependent encryption-decryption (UQDED) scheme is considered here to orchestrate the transmitted data. A novel EDBSE approach is developed such that the upper bounds of prediction error (PE) covariance (PEC) and estimation error (EE) covariance (EEC) can be derived by resolving Riccati-like difference equations and the estimation parameter (EP) is determined by minimizing the trace of the upper bound of EEC. Furthermore, a uniformly bounded condition is elaborated to evaluate the algorithm performance of EDBSE. Finally, an illustrative example is conducted to verify the validity of the introduced EDBSE method.https://www.tandfonline.com/doi/10.1080/21642583.2024.2357796State estimationcomplex networkscoupled perturbationencryption–decryption schemeboundedness analysis |
| spellingShingle | Peixia Gao Chaoqing Jia Aozhan Zhou Encryption–decryption-based state estimation for nonlinear complex networks subject to coupled perturbation Systems Science & Control Engineering State estimation complex networks coupled perturbation encryption–decryption scheme boundedness analysis |
| title | Encryption–decryption-based state estimation for nonlinear complex networks subject to coupled perturbation |
| title_full | Encryption–decryption-based state estimation for nonlinear complex networks subject to coupled perturbation |
| title_fullStr | Encryption–decryption-based state estimation for nonlinear complex networks subject to coupled perturbation |
| title_full_unstemmed | Encryption–decryption-based state estimation for nonlinear complex networks subject to coupled perturbation |
| title_short | Encryption–decryption-based state estimation for nonlinear complex networks subject to coupled perturbation |
| title_sort | encryption decryption based state estimation for nonlinear complex networks subject to coupled perturbation |
| topic | State estimation complex networks coupled perturbation encryption–decryption scheme boundedness analysis |
| url | https://www.tandfonline.com/doi/10.1080/21642583.2024.2357796 |
| work_keys_str_mv | AT peixiagao encryptiondecryptionbasedstateestimationfornonlinearcomplexnetworkssubjecttocoupledperturbation AT chaoqingjia encryptiondecryptionbasedstateestimationfornonlinearcomplexnetworkssubjecttocoupledperturbation AT aozhanzhou encryptiondecryptionbasedstateestimationfornonlinearcomplexnetworkssubjecttocoupledperturbation |