Dynamic Event-Triggering Joint State and Unknown Input Estimation for Nonlinear Systems With Random Sensor Failure-Reference-Cited by-同舟云学术

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Dynamic Event-Triggering Joint State and Unknown Input Estimation for Nonlinear Systems With Random Sensor Failure

Published:2023-12-01 Issue:23 Volume:23 Page:29415-29424
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Huang Cong¹^ORCID,Zhao Taixian¹,Mei Peng²^ORCID,Yang Daoguang³^ORCID,Shi Quan¹^ORCID

Affiliation:

1. School of Transportation and Civil Engineering, Nantong University, Nantong, China

2. School of Transportation Science and Engineering, Beihang University, Beijing, China

3. Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy

Funder

Natural Science Foundation of the Higher Education Institutions of Jiangsu Province

Basic Science Research Program of NanTong City

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10336249/10295415.pdf?arnumber=10295415

Reference38 articles.

1. A dynamically event-triggered approach to recursive filtering with censored measurements and parameter uncertainties

2. An event-triggered approach to robust recursive filtering for stochastic discrete time-varying spatial-temporal systems

3. Gain-Constrained Recursive Filtering With Stochastic Nonlinearities and Probabilistic Sensor Delays

4. A Recursive Algorithm for Secure Filtering for Two-Dimensional State-Saturated Systems under Network-based Deception Attacks

5. Event-triggering robust fusion estimation for a class of multi-rate systems subject to censored observations

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1. Recursive Filtering for Stochastic Systems with Filter-and-Forward Successive Relays;IEEE/CAA Journal of Automatica Sinica;2024-05

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