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CLC number: TP13

On-line Access: 2024-02-23

Received: 2023-08-20

Revision Accepted: 2024-02-23

Crosschecked: 2023-10-17

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Citations:  Bibtex RefMan EndNote GB/T7714


Ying SUN


Jingyang MAO


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


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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publisher="Zhejiang University Press & Springer",

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%T Recursive filtering ofmulti-rate cyber-physical systems with unknown inputs under adaptive event-triggered mechanisms
%A Ying SUN
%A Miaomiao FU
%A Jingyang MAO
%A Guoliang WEI
%J Frontiers of Information Technology & Electronic Engineering
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%P 250-259
%@ 2095-9184
%D 2024
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2300565

T1 - Recursive filtering ofmulti-rate cyber-physical systems with unknown inputs under adaptive event-triggered mechanisms
A1 - Ying SUN
A1 - Miaomiao FU
A1 - Jingyang MAO
A1 - Guoliang WEI
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 25
IS - 2
SP - 250
EP - 259
%@ 2095-9184
Y1 - 2024
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2300565

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.

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


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