Annual Reviews in Control - Elsevier - Impact Factor

Annual Reviews in Control - Elsevier | 2024 Impact Factor:10.7 | Cite Score:20.4 | Q1

Impact Factor and Journal Rank of Annual Reviews in Control

About: Annual Reviews in Control is a peer-reviewed academic journal that focuses on providing comprehensive and up-to-date reviews of significant developments in the field of control systems and related areas. Published by Elsevier, it serves as a valuable resource for researchers, practitioners, and students seeking to stay informed about the latest advancements, trends, and challenges in control theory, practice, and applications.
Interdisciplinary Approach: The journal adopts an interdisciplinary approach, covering topics and methodologies from control theory, systems theory, mathematics, computer science, electrical engineering, mechanical engineering, and other relevant disciplines.
High Standards and Impact: Annual Reviews in Control" upholds rigorous standards of quality and integrity through a thorough peer-review process conducted by experts in the field. It is widely recognized for its impact and influence, with articles frequently cited by researchers and practitioners worldwide.
Global Reach: The journal has a broad international readership and attracts contributions from researchers and institutions around the world. This global perspective ensures a diverse range of topics, methodologies, and applications, making the journal a valuable resource for the global control community.
Significance: The journal synthesizes and consolidates knowledge from diverse sources, providing readers with comprehensive reviews and insights into the latest advancements and trends in control theory and practice. The journal serves as an educational resource for students, educators, and practitioners, offering tutorial articles, case studies, and perspective pieces that enhance understanding and facilitate learning in the field of control systems.

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Editor-in-Chief: Herve Panetto

Scope: Annual Reviews in Control is a scholarly journal that provides comprehensive and authoritative reviews of significant developments in the field of control systems and automation. The journal aims to offer critical assessments of the latest research trends, methodologies, and applications in control theory, practice, and technology.
Here is an overview of the scope covered by Annual Reviews in Control:
Control Theory: In-depth reviews of foundational principles, concepts, and theories in control systems engineering. This includes discussions on classical control theory, modern control theory, robust control, optimal control, adaptive control, and predictive control.
System Identification and Modeling: Critical assessments of methods and techniques for system identification and modeling, which are essential for understanding and analyzing the behavior of dynamic systems. This includes reviews of parametric and non-parametric identification methods, model validation techniques, and system modeling approaches.
Control System Design and Optimization: Reviews of design methodologies and optimization techniques for developing control systems that meet specified performance criteria. This includes discussions on control system synthesis, controller design methods (such as PID, H-infinity, and LQR/LQG), and optimization-based control strategies.
Nonlinear and Complex Systems: Reviews of advancements in the analysis and control of nonlinear and complex systems, which exhibit intricate behaviors and dynamics. This includes discussions on chaos theory, bifurcation analysis, nonlinear control techniques, and control of complex networks.
Adaptive and Learning Control: Critical assessments of adaptive and learning control approaches that enable systems to adjust their behavior based on feedback and experience. This includes reviews of model-free adaptive control, reinforcement learning, neural network-based control, and evolutionary algorithms for control optimization.
Fault Detection and Diagnosis: Reviews of methodologies and algorithms for detecting and diagnosing faults in dynamic systems. This includes discussions on fault detection techniques, fault isolation methods, and fault diagnosis strategies based on observer design, data-driven approaches, and machine learning.
Networked and Distributed Control Systems: Reviews of control systems that operate over communication networks and involve distributed components. This includes discussions on networked control architectures, communication protocols, time-delay compensation methods, and distributed consensus algorithms.
Robotics and Autonomous Systems: Critical assessments of control methods and technologies for robotics and autonomous systems. This includes reviews of robot control architectures, motion planning algorithms, sensor fusion techniques, and autonomy levels in robotic systems.