Quadratic Filtering for Discrete-Time Systems with Measurement Delay and Packet Dropping

Joint Authors

Song, Xinmin
Yan, Xuehua
Li, Ling
Tan, Lei

Source

Complexity

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-08-05

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Philosophy

Abstract EN

We consider the problem of remote estimation with time delay and multiplicative noise for multichannel systems.

First, we apply the reorganized innovation analysis approach to construct the original delay system into a new delay-free system.

Secondly, the delay-free system will be reconstructed by the quadratic filtering method to obtain an augmented system.

Then, Kalman filtering theory and projection formula are used to solve two Riccati equations and one Lyapunov equation for the augmented system, and the quadratic filter for the measurement delay system on the packet loss network can be obtained.

Finally, we use a numerical example to illustrate the effectiveness of the method.

American Psychological Association (APA)

Li, Ling& Tan, Lei& Song, Xinmin& Yan, Xuehua. 2020. Quadratic Filtering for Discrete-Time Systems with Measurement Delay and Packet Dropping. Complexity،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1139947

Modern Language Association (MLA)

Li, Ling…[et al.]. Quadratic Filtering for Discrete-Time Systems with Measurement Delay and Packet Dropping. Complexity No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1139947

American Medical Association (AMA)

Li, Ling& Tan, Lei& Song, Xinmin& Yan, Xuehua. Quadratic Filtering for Discrete-Time Systems with Measurement Delay and Packet Dropping. Complexity. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1139947

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1139947