Adaptive Event-Triggered Asynchronous Finite-Time H∞ Filter Design for Linear Neutral Semi-Markovian Jumping Systems With Mixed Sensor Faults

IF 3.2 3区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

International Journal of Robust and Nonlinear Control Pub Date : 2025-02-26 DOI:10.1002/rnc.7876

Guifang Cheng, Huishi Shen

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引用次数: 0

Abstract

This paper studies the design of adaptive event-triggered asynchronous finite-time $H_{\infty}$ filter for neutral semi-Markovian jumping systems (SMJSs) with mixed sensor faults. A novel adaptive event-triggered mechanism (AETM) is constructed to automatically tune trigger threshold, thus alleviating the communication burden. Subsequently, in light of the device's unsafe operating environment, a mixed sensor faults model is taken into account. Next, sufficient conditions are obtained to ensure the filtering error system (FES) meets stochastic $H_{\infty}$ finite-time boundedness (FTB) and stochastic $H_{\infty}$ finite-time contractive boundedness (FTCB). Lastly, an engineering-based example is shown to validate the efficacy of the proposed method.

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具有混合传感器故障的线性中立型半马尔可夫跳变系统的自适应事件触发异步有限时间H∞滤波器设计

针对具有混合传感器故障的中性半马尔可夫跳变系统，研究了自适应事件触发异步有限时间H∞$$ {H}_{\infty } $$滤波器的设计。构建了一种新的自适应事件触发机制（AETM）来自动调整触发阈值，从而减轻了通信负担。随后，针对设备的不安全运行环境，考虑传感器混合故障模型。接下来，得到了滤波误差系统（FES）满足随机H∞$$ {H}_{\infty } $$有限时间有界性（FTB）和随机H的充分条件∞$$ {H}_{\infty } $$有限时间收缩有界性（FTCB）。最后，通过工程算例验证了该方法的有效性。

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来源期刊

International Journal of Robust and Nonlinear Control 工程技术-工程：电子与电气

CiteScore

6.70

自引率

20.50%

发文量

505

审稿时长

2.7 months

期刊介绍： Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.