ANNUAL REVIEWS IN CONTROL

Scope & Guideline

Shaping the future of Control with authoritative analyses.

Introduction

Immerse yourself in the scholarly insights of ANNUAL REVIEWS IN CONTROL with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN1367-5788
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 1996 to 2024
AbbreviationANNU REV CONTROL / Annu. Rev. Control
Frequency2 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND

Aims and Scopes

The journal "ANNUAL REVIEWS IN CONTROL" serves as a comprehensive platform for disseminating cutting-edge research in control systems. Its core aims are to address theoretical advancements, practical applications, and emerging technologies in control engineering across various domains. The journal emphasizes interdisciplinary approaches and innovative methodologies, making significant contributions to both academic and industrial practices.
  1. Control Theory and Applications:
    The journal focuses on the theoretical foundations of control systems, exploring various control strategies and their applications in fields such as robotics, aerospace, and autonomous systems.
  2. Data-Driven Control:
    A significant emphasis on data-driven methodologies, including machine learning and adaptive control techniques, reflecting the growing trend towards intelligent systems that learn from data.
  3. Safety-Critical Systems:
    An important area of focus involves safety-critical systems, particularly in the context of autonomous vehicles and multi-agent systems, where ensuring safety in control mechanisms is paramount.
  4. Optimization Techniques:
    The journal explores advanced optimization algorithms and methodologies for control, addressing stability, robustness, and performance improvements in control systems.
  5. Interdisciplinary Applications:
    Research across various applications, including healthcare, cyber-physical systems, and environmental monitoring, showcasing the versatile nature of control engineering.
  6. Emerging Technologies:
    The journal encourages research on emerging technologies such as digital twins, quantum control, and smart manufacturing, reflecting the evolving landscape of control systems.
The journal "ANNUAL REVIEWS IN CONTROL" has identified several trending and emerging themes that reflect the current priorities and innovations within the field of control systems. These themes highlight the journal's responsiveness to technological advancements and societal needs.
  1. Autonomous Systems and Robotics:
    With the rise of autonomous vehicles and robotic systems, there is an increasing focus on control strategies that ensure safety, reliability, and efficiency in these applications.
  2. Cyber-Physical Systems:
    Research into cyber-physical systems is trending, emphasizing the integration of physical processes with computational elements, which is crucial for modern industrial applications and smart cities.
  3. Safety and Security in Control Systems:
    An emerging theme is the focus on safety and security within control systems, particularly in light of growing concerns around cyber threats and the need for resilient control mechanisms.
  4. Machine Learning and AI in Control:
    The integration of machine learning and artificial intelligence into control systems is a rapidly growing area, reflecting the demand for adaptive and intelligent control solutions in various applications.
  5. Sustainable and Green Control Solutions:
    There is an increased emphasis on sustainable control strategies, particularly in energy systems and environmental monitoring, aligning with global sustainability goals.
  6. Digital Twins and Predictive Maintenance:
    The use of digital twins for monitoring and predictive maintenance is gaining traction, offering new insights into system health management and operational efficiency.

Declining or Waning

While the journal continues to thrive in various areas, certain themes have shown signs of decline, reflecting shifts in research focus and technological advancements. These waning scopes indicate a potential reallocation of resources and interests within the control engineering community.
  1. Traditional Control Methods:
    There is a noticeable decline in publications centered around classical control methods, such as PID control, as researchers gravitate towards more advanced and adaptive techniques that leverage data-driven approaches.
  2. Basic Stochastic Control:
    The frequency of papers focusing solely on basic stochastic control methodologies has decreased, likely due to the increasing complexity of systems that require integrated approaches combining multiple techniques.
  3. Non-linear Control without Data Integration:
    Research on non-linear control strategies that do not incorporate data-driven insights appears to be waning, as the field increasingly recognizes the importance of data in refining control strategies.
  4. Static System Models:
    The traditional focus on static system models is diminishing, with a shift towards dynamic and adaptive models that can better represent real-world complexities and uncertainties.
  5. Single-Domain Applications:
    There is a decline in papers addressing single-domain applications, as interdisciplinary approaches become more valuable in addressing complex control challenges across various sectors.

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