Automatic Control and Computer Sciences Pleiades Publishing Journal Impact Factor

Automatic Control and Computer Sciences - Pleiades Publishing | 2024 Impact Factor:0.5 | Cite Score:1.6 | Q3

Automatic Control and Computer Sciences Journal With Cite Score

Cite Score and Journal Rank of Automatic Control and Computer Sciences

About: The Automatic Control and Computer Sciences journal publishes original research articles, technical papers, and reviews on various topics related to automatic control and computer sciences. This includes system control theory, control algorithms, computer systems design, software engineering, and applications in fields such as robotics, automation, and artificial intelligence. The journal aims to advance the understanding and application of control and computing technologies to improve system performance and functionality.
Objective
The primary objective of the journal is to provide a platform for high-quality research and scholarly discussion on automatic control and computer sciences. The journal seeks to promote the exchange of innovative ideas, support the development of new control methodologies and computing technologies, and enhance the practical application of these solutions in various industries.
Interdisciplinary Approach
Automatic Control and Computer Sciences adopts an interdisciplinary approach, recognizing that research in these areas often intersects with fields such as electrical engineering, mechanical engineering, information systems, and applied mathematics. The journal encourages contributions that integrate these diverse perspectives to address complex challenges and develop comprehensive solutions for control and computing problems.
Impact and Significance
The journal has a significant impact on the control and computer sciences communities by providing valuable insights and practical recommendations for researchers, engineers, and practitioners. Its influence is reflected in its ability to shape research directions, drive technological advancements, and contribute to the development of more efficient and effective control systems and computing technologies. Automatic Control and Computer Sciences plays a crucial role in advancing knowledge and practice in these fields.

Journal Home: Journal Homepage

Editor-in-Chief: Modris Greitans

Scope: The Automatic Control and Computer Sciences journal focuses on the integration of automatic control systems and computer science. It provides a platform for research on how computer science techniques can be applied to control systems and vice versa, addressing a range of theoretical and practical issues in these fields.
Automatic Control Systems:
Research on the design, analysis, and implementation of automatic control systems
Innovations in control algorithms, system modeling, and feedback mechanisms
Case studies on the application of control systems in various industries such as aerospace, manufacturing, and robotics
Trends in advanced control strategies including adaptive, robust, and optimal control
Future directions for enhancing the performance and flexibility of control systems
Computer Science Techniques in Control:
Research on the application of computer science methodologies to control systems
Innovations in algorithms, software tools, and computational techniques for control applications
Case studies on the integration of computer science techniques in control system design and implementation
Trends in the use of machine learning, artificial intelligence, and data analytics in control systems
Future directions for leveraging computer science to advance control technologies
System Modeling and Simulation:
Research on modeling techniques for dynamic systems and their simulation
Innovations in simulation tools and methodologies for control system analysis and design
Case studies on the use of simulation in validating and optimizing control strategies
Trends in real-time simulation and hardware-in-the-loop testing
Future directions for improving system modeling and simulation capabilities
Embedded Systems and Real-Time Control:
Research on embedded systems used for real-time control applications
Innovations in hardware and software design for embedded control systems
Case studies on the implementation of real-time control in embedded platforms
Trends in real-time operating systems and their impact on control applications
Future directions for enhancing the performance and reliability of embedded control systems
Data-Driven Control and Optimization:
Research on data-driven approaches to control and optimization
Innovations in using data analytics, machine learning, and big data for control system design
Case studies on the application of data-driven methods in control and optimization problems
Trends in the integration of data-driven techniques with traditional control methods
Future directions for advancing data-driven control and optimization strategies
Educational and Professional Development:
Research on educational programs and training related to automatic control and computer sciences
Innovations in curriculum development, online learning, and certification programs
Case studies on effective educational strategies for control and computer science professionals
Trends in the evolution of educational resources and career opportunities in these fields
Future directions for improving education and professional development in control and computer sciences