Event-Triggered Distributed Fusion Estimator for Asynchronous Markov Jump Systems with Correlated Noises and Fading Measurements

• Published in: Sensors (Basel, Switzerland) Vol. 24; no. 2; p. 336
• Main Authors: Zhang, Rui, Lin, Honglei
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.01.2024; MDPI
• Subjects: Accuracy; Algorithms; asynchronous Markov jump system; Computer simulation; Computer-generated environments; correlated noise; Data transmission; distributed fusion; Energy consumption; Euclidean space; event-triggered; fading measurement; Fault diagnosis; Markov analysis; Maximum likelihood method; Measurement; Measuring instruments; Sensors; Signal processing; asynchronous Markov jump system; correlated noise; event-triggered; distributed fusion; fading measurement

In this study, we investigate event-triggered distributed fusion estimation for asynchronous Markov jump systems subject to correlated noises and fading measurements. The measurement noises are interrelated, and they are simultaneously coupled with the system noise. The sensor samples measurements u...