Full Text:   <312>

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Suppl. Mater.: 

CLC number: TP13

On-line Access: 2024-02-23

Received: 2023-08-20

Revision Accepted: 2024-02-23

Crosschecked: 2023-10-17

Cited: 0

Clicked: 506

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Ying SUN

https://orcid.org/0000-0001-7494-2971

Jingyang MAO

https://orcid.org/0000-0002-8938-8376

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Frontiers of Information Technology & Electronic Engineering  2024 Vol.25 No.2 P.250-259

http://doi.org/10.1631/FITEE.2300565


Recursive filtering ofmulti-rate cyber-physical systems with unknown inputs under adaptive event-triggered mechanisms


Author(s):  Ying SUN, Miaomiao FU, Jingyang MAO, Guoliang WEI

Affiliation(s):  Business School, University of Shanghai for Science and Technology, Shanghai 200093, China; more

Corresponding email(s):   jingyang_mao@sit.edu.cn

Key Words:  Cyber-physical systems, Multi-rate, Joint recursive filtering, Adaptive event-triggered mechanisms, Unknown inputs


Ying SUN, Miaomiao FU, Jingyang MAO, Guoliang WEI. Recursive filtering ofmulti-rate cyber-physical systems with unknown inputs under adaptive event-triggered mechanisms[J]. Frontiers of Information Technology & Electronic Engineering, 2024, 25(2): 250-259.

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doi="10.1631/FITEE.2300565"
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Abstract: 
cyber-physical systems (CPSs) take on the characteristics of both multiple rates of information collection and processing and the dependency on information exchanges. The purpose of this paper is to develop a joint recursive filtering scheme that estimates both unknown inputs and system states for multi-rate CPSs with unknown inputs. In cyberspace, the information transmission between the local joint filter and the sensors is governed by an adaptive event-triggered strategy. Furthermore, the desired parameters of joint filters are determined by a set of algebraic matrix equations in a recursive way, and a sufficient condition verifying the boundedness of filtering error covariance is found by resorting to some algebraic operation. A state fusion estimation scheme that uses local state estimation is proposed based on the covariance intersection (CI) based fusion conception. Lastly, an illustrative example demonstrates the effectiveness of the proposed adaptive event-triggered recursive filtering algorithm.

自适应事件触发机制下带有未知输入的多速率信息物理系统的递归滤波

孙颖1,4,扶苗苗2,毛靖阳3,魏国亮1
1上海理工大学管理学院,中国上海市,200093
2上海市曹杨职业技术学校,中国上海市,200333
3上海应用技术大学电气与电子工程学院,中国上海市,201418
4上海理工大学智慧应急管理学院,中国上海市,200093
摘要:信息物理系统具有多速率的信息收集和处理功能,并且对信息交换具有依赖性。本文旨在设计一种联合递归滤波方案,用于估计具有未知输入的多速率信息物理系统的输入和系统状态,其中联合递归滤波器和传感器之间的信息传输受自适应事件触发策略控制。通过求解一组代数矩阵方程,可以递归地确定满足要求的联合滤波器增益,并且可以通过一些代数运算获得保证滤波误差协方差有界的充分条件。基于协方差交叉融合的概念,提出一种利用局部状态估计的融合估计方案。最后,通过一个数值仿真验证了所提自适应事件触发递归滤波算法的有效性。

关键词:信息物理系统;多速率;联合递归滤波;自适应事件触发机制;未知输入

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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