| MIAO Kelei (缪克雷)*,YAN Zejun*,ZHANG Xudong* **,CHEN Yourong*,REN Hongliang**.[J].高技术通讯(英文),2025,31(4):329~337 |
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| Intermediate-variable-based adaptive extended Kalman filter for nonlinear non-Gaussian cyber-physical systems with unknown inputs |
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| DOI：10. 3772 / j. issn. 1006-6748. 2025. 04. 002 |
| 中文关键词: |
| 英文关键词: nonlinear non-Gaussian system, intermediate variable, adaptive extended Kalman filter |
| 基金项目: |
| Author Name | Affiliation | | MIAO Kelei (缪克雷)* | (* College of Information Science and Technology, Zhejiang Shuren University, Hangzhou 310015, P. R. China)
(** Department of Automation, Zhejiang University of Technology, Hangzhou 310023, P. R. China) | | YAN Zejun* | | | ZHANG Xudong* ** | | | CHEN Yourong* | | | REN Hongliang** | |
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| 中文摘要: |
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| 英文摘要: |
| This article proposes an adaptive extended Kalman filter (EKF) for nonlinear cyber-physical systems (CPSs) under unknown inputs and non-Gaussian noises. It is known that the traditional ex-tended Kalman filter is applicable to nonlinear systems with Gaussian white noise. The system is reformulated with intermediate variables to expand the application of nonlinear systems under unknown inputs and non-Gaussian noises, which help decompose unknown input estimation into residual tracking and state observation subproblems. By introducing the orthogonal principle of innovation and attenuation factor, the intermediate variables-based filter can improve the estimation performance under non-Gaussian noises and unknown inputs. Simulation results validate the effectiveness of the proposed method. |
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