Fault Estimation for Semi-Markov Jump Neural Networks Based on the Extended State Method

Fault Estimation for Semi-Markov Jump Neural Networks Based on the Extended State Method

This paper addresses fault estimation in discrete-time semi-Markov jump neural networks (s-MJNNs) under the Round-Robin protocol and proposes an innovative extended state observer-based approach. Unlike studies considering only constant transition rates, this work investigates s-MJNNs with time-vary...

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Bibliographic Details
Main Authors: Lihong Rong, Yuexin Pan, Zhimin Tong
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Applied Sciences
Subjects:
fault estimation
semi-Markov jump system
extended state observer
neural networks
discrete-time systems
Online Access:https://www.mdpi.com/2076-3417/15/9/5213
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