Foundations and Trends in Systems and Control

Scope & Guideline

Fostering Excellence in Control and Systems Research

Introduction

Welcome to your portal for understanding Foundations and Trends in Systems and 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
ISSN2325-6818
PublisherNOW PUBLISHERS INC
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2014 to 2024
AbbreviationFOUND TRENDS SYST CO / Found. Trends Syst. Control
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressPO BOX 1024, HANOVER, MA 02339, UNITED STATES

Aims and Scopes

The journal 'Foundations and Trends in Systems and Control' is dedicated to advancing the field of systems and control through comprehensive and methodologically rigorous research. Its focus encompasses a broad spectrum of theoretical and practical aspects of control systems, providing insights into both classical and contemporary challenges.
  1. Control System Design and Analysis:
    The journal emphasizes the design, stability, and robustness of control systems, examining both linear and nonlinear systems across various applications.
  2. Autonomous Systems and Artificial Intelligence:
    A growing area of focus includes the development of formal methods and frameworks for controlling autonomous systems, particularly in the context of safety and reliability.
  3. Discrete-Event Systems:
    The journal explores theoretical frameworks and practical tools for the analysis and control of discrete-event systems, contributing to fields such as manufacturing and telecommunications.
  4. Neuroscience Applications:
    Research that merges control theory with neuroscience is highlighted, reflecting an interdisciplinary approach that leverages control principles to understand complex biological systems.
  5. Multi-Robot Coordination:
    The coordination of multi-robot systems is a key area of interest, with studies focused on the algorithms and strategies necessary for effective collaboration among autonomous agents.
The journal has shown a dynamic evolution in its focus, with several emerging themes gaining traction. This section highlights the most significant trends observed in recent publications.
  1. Robustness and Uncertainty in Control Systems:
    Recent papers indicate a strong emphasis on robustness analysis techniques, particularly in the context of uncertain systems, showcasing a need for resilient control strategies in real-world applications.
  2. Formal Methods in Control and Autonomous Systems:
    There is a notable increase in the application of formal methods for ensuring the safety and reliability of autonomous systems, reflecting the growing importance of verification in control system design.
  3. Adaptive Control Techniques:
    The trend towards adaptive control methods, particularly in relation to neuroscience and complex systems, signifies a shift towards more flexible and intelligent control strategies.
  4. Finite-Time Stability Analysis:
    An emerging focus on finite-time stability tools suggests a growing interest in control solutions that can guarantee stability within a specific timeframe, addressing practical engineering constraints.

Declining or Waning

While 'Foundations and Trends in Systems and Control' continues to evolve, some themes appear to be receding in prominence. This section outlines areas that have seen a decline in recent publications.
  1. Traditional Control Techniques:
    There has been a noticeable decrease in publications focused solely on traditional control methods, such as PID control, as the field shifts towards more advanced and adaptive techniques.
  2. Linear Control Systems:
    Research centered on purely linear control systems is becoming less frequent, reflecting a broader industry trend towards the complexities of nonlinear and adaptive control methodologies.
  3. Basic Stability Analysis:
    Basic stability analysis methods are appearing less often, as researchers increasingly seek more sophisticated approaches that account for uncertainties and complex system dynamics.

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