MEASUREMENT & CONTROL

Scope & Guideline

Fostering Collaboration Across Control Systems and Mathematics

Introduction

Welcome to your portal for understanding MEASUREMENT & CONTROL, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN0020-2940
PublisherSAGE PUBLICATIONS LTD
Support Open AccessYes
CountryUnited States
TypeJournal
Convergefrom 1968 to 2024 (coverage discontinued in Scopus)
AbbreviationMEAS CONTROL-UK / Meas. Control
Frequency10 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND

Aims and Scopes

The journal 'MEASUREMENT & CONTROL' focuses on advancing the fields of measurement and control systems through innovative methodologies and applications. It encompasses a broad spectrum of topics, emphasizing both theoretical advancements and practical implementations in various engineering domains.
  1. Measurement Techniques and Technologies:
    Explores novel measurement approaches, sensors, and methods for various applications, including environmental monitoring, industrial automation, and biomedical engineering.
  2. Control System Design and Optimization:
    Covers the development of control strategies, algorithms, and systems, particularly focusing on robust, adaptive, and intelligent control methods across different engineering fields.
  3. Data Analysis and Signal Processing:
    Investigates techniques for data acquisition, processing, and analysis, including machine learning and statistical methods to enhance decision-making in measurement systems.
  4. Robotics and Automation:
    Focuses on the control and optimization of robotic systems, including mobile robots, drones, and automated manufacturing processes.
  5. Cyber-Physical Systems and IoT Integration:
    Examines the interplay between physical systems and digital technologies, including the integration of IoT solutions for enhanced measurement and control capabilities.
  6. Fault Diagnosis and Predictive Maintenance:
    Addresses methodologies for monitoring, diagnosing faults in systems, and implementing predictive maintenance strategies to improve reliability and efficiency.
The journal 'MEASUREMENT & CONTROL' has seen significant growth in several emerging areas of research, reflecting the evolving landscape of engineering and technology. The following themes have gained prominence in recent publications.
  1. Machine Learning and AI in Control Systems:
    There is an increasing emphasis on applying machine learning and artificial intelligence techniques for control system design, optimization, and fault diagnosis, highlighting the industry's shift towards data-driven approaches.
  2. Advanced Control Strategies for Nonlinear Systems:
    Research on nonlinear control methods, including sliding mode control and adaptive control techniques, has surged, addressing the complexities of modern engineering systems.
  3. Integration of IoT and Smart Technologies:
    The integration of Internet of Things (IoT) technologies in measurement and control systems is a growing focus, facilitating real-time monitoring and enhanced data analytics.
  4. Cybersecurity in Control Systems:
    As systems become more interconnected, the importance of cybersecurity in measurement and control systems has emerged as a critical area of research, addressing vulnerabilities and protection strategies.
  5. Sustainability and Energy Efficiency:
    Studies addressing energy-efficient control methods and sustainable practices in various engineering applications are increasingly prevalent, reflecting global priorities towards sustainability.

Declining or Waning

In recent years, certain themes within the journal 'MEASUREMENT & CONTROL' have shown a declining trend, indicating shifts in research focus and industry needs. The following areas have been less frequently addressed in the latest publications.
  1. Traditional PID Control Approaches:
    While PID control remains fundamental, there has been a noticeable decrease in papers focused solely on conventional PID methods, as researchers increasingly explore more advanced and adaptive control techniques.
  2. Basic Statistical Methods for Quality Control:
    The reliance on basic statistical techniques for quality control and process monitoring has diminished, with more sophisticated data-driven and machine learning methods gaining traction.
  3. Mechanical Systems without Intelligent Control:
    Studies focusing on purely mechanical systems without integrated intelligent control strategies are declining, as the trend shifts towards systems that incorporate smart technologies and adaptive controls.

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