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Sensing, Control, and Fault Diagnosis in Mechanical Instrumentation and Automation

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Fault Diagnosis & Sensors".

Deadline for manuscript submissions: 30 November 2026 | Viewed by 734

Special Issue Editors

School of Aeronautics, Northwestern Polytechnical University, Xi'an 710072, China
Interests: prognostic and health management; digital twin; stochastic system; probability theory
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the continuous advancement of technology and the acceleration of industrialization, the level of automation in modern industrial production is steadily increasing. As a crucial component of modern industrial control, mechanical instrumentation and automation, particularly the core technologies in sensing, control, and fault diagnosis, are becoming increasingly significant. Therefore, this Special Issue aims to provide a platform for experts, scholars, engineers, and technical researchers in the fields of instrumentation, mechanical engineering, and automation to share research achievements and cutting-edge developments. It seeks to facilitate an understanding of academic trends, broaden research perspectives, strengthen academic discourse, and promote the industrialization and collaborative application of scientific and technological outcomes.

This Special Issue collects high-quality original articles or comprehensive review papers on sensing, control, and fault diagnosis technologies in mechanical instrumentation and automation. The topics for this Special Issue include, but are not limited to, the following:

  • Measuring and testing technologies and instruments.
  • Ultra-precision photoelectric instrument.
  • Precision measurement and intelligent instrument.
  • Photoelectric detection technology.
  • Detection and control technology.
  • Smart sensor technology and application.
  • Automatic detection and instrumentation.
  • Intelligent measurement and control system.
  • Fault diagnosis and maintenance theory.

Dr. Teng Wang
Prof. Dr. Yongbo Li
Dr. Khandaker Noman
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sensing
  • control
  • fault diagnosis
  • mechanical instrumentation and automation

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Published Papers (1 paper)

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Research

22 pages, 1808 KB  
Article
Leader–Following Fault-Tolerant Consensus Control for Multi-Agent Systems Based on Observers
by Tengzi Liu, Fanglai Zhu and Haichuan Xu
Sensors 2026, 26(10), 3153; https://doi.org/10.3390/s26103153 - 16 May 2026
Viewed by 515
Abstract
In this paper, for leader–follower structure multi-agent systems (MASs), a new fault-tolerant consensus control mechanism which is called the distributed information estimation and centralized control scheme is developed. To begin with, for each follower agent, an unknown input observer (UIO) is designed to [...] Read more.
In this paper, for leader–follower structure multi-agent systems (MASs), a new fault-tolerant consensus control mechanism which is called the distributed information estimation and centralized control scheme is developed. To begin with, for each follower agent, an unknown input observer (UIO) is designed to obtain the asymptotic convergence state estimation. Then, a fault reconstruction (FR) method is proposed through constructing an interval observer by sensor measurement output. Most importantly, using the leader’s state estimation provided by the local observer, a distributed observer (DO) is designed so that each follower can obtain the leader’s state estimation. Subsequently, for each follower agent, by using its own state estimation and FR, and the leader’s state estimation offered by the DO, a centralized controller is designed. In this way, a DO-based distributed fault-tolerant control protocol is developed, in which the distributed feature is majorly reflected by the DO construction, resulting in the controller being formulated in a centralized way. In addition, under the DO-based distributed fault-tolerant control protocol, MAS consensus can be reached. Finally, two simulation examples are given to show the effectiveness of the proposed methods. Full article
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