Intelligent Detection and Control

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".

Deadline for manuscript submissions: 30 June 2026 | Viewed by 34

Special Issue Editors


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Guest Editor
College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Interests: intelligent machine learning and artificial neural network; intelligent fault diagnosis technology; weak signal identification and intelligent health diagnosis; intelligent vehicle design and lightweight technology
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Guest Editor
College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Interests: thermal dynamic system modeling and simulation

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Guest Editor
Zhejiang Provincial Engineering Research Center for Special Aircrafts, Ningbo Institute of Materials Technology & Engineering, Chinese Academy of Sciences, Ningbo 315201, China
Interests: intelligent control and predictive maintenance
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The theories and technologies of intelligent detection and behavioral objective control have garnered widespread attention in fields such as industrial manufacturing, transportation, and healthcare, particularly in fault and damage detection and control. With the involvement of artificial intelligence, numerous breakthroughs and advancements have been achieved. However, research in this domain has yet to achieve ideal breakthroughs, especially in areas such as the explicit theoretical formulation of artificial neural network methods, the exploration and fusion of characteristic patterns among cross-domain detection signals, the identification of state characteristics of weak detection signals under strong interference, the recognition of complex features from multifactorial superposition and partial behavioral control, control theories and methods for optimizing behavioral objectives, the study of intelligent control technologies for behavioral domains under multidimensional constraints, and prognostic health management and advanced control technology in UAV/power systems in low-altitude economic applications. We look forward to researchers providing excellent research results to develop and improve the theoretical and technical level of the field of intelligent detection and behavior goal control.

Prof. Dr. Shunming Li
Prof. Dr. Haibo Zhang
Prof. Dr. Jiqiang Wang
Guest Editors

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Keywords

  • artificial intelligence
  • cross-domain feature regularity
  • weak detection signal
  • complex feature recognition
  • behavioral objective optimization control
  • behavioral domain intelligent control

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