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Systems Science & Control Engineering - Taylor and Francis | 2024 Impact Factor:4.4 | Cite Score:5.9 | Q1

Systems Science & Control Engineering Journal

Cite Score and Journal Rank of Systems Science & Control Engineering

  • About: Systems Science & Control Engineering is a peer-reviewed journal dedicated to publishing high-quality research in the fields of systems science and control engineering. The journal covers a broad spectrum of topics including control theory, system modeling, optimization, system identification, simulation, and applications of control engineering in various industries such as automotive, aerospace, robotics, and manufacturing. Systems Science & Control Engineering aims to advance both the theoretical and practical aspects of systems science and control engineering by providing a platform for innovative research and practical applications.
  • Objective:
    The primary objective of Systems Science & Control Engineering is to promote the development and application of advanced methodologies and technologies in systems science and control engineering. The journal seeks to offer a comprehensive resource for researchers, practitioners, and policymakers to explore new theories, models, and applications. Systems Science & Control Engineering aims to support the advancement of knowledge and the development of effective solutions that address complex problems in systems and control engineering.
  • Interdisciplinary Approach:
    Systems Science & Control Engineering adopts an interdisciplinary approach, encouraging contributions from various fields such as electrical engineering, mechanical engineering, computer science, mathematics, and applied physics. This approach ensures a broad exploration of topics related to systems science and control engineering, integrating different perspectives and methodologies. By promoting interdisciplinary research, the journal addresses multifaceted challenges and fosters the development of integrated solutions that advance the state of knowledge in these fields.
  • Impact:
    The journal has a significant impact on both academic research and practical applications in systems science and control engineering. It is widely cited by researchers, practitioners, and industry professionals interested in the latest developments in these fields. The research published in Systems Science & Control Engineering contributes to the advancement of new technologies, methodologies, and applications that enhance the capabilities and effectiveness of systems and solutions in various industries. The journal serves as a valuable resource for those involved in research, development, and implementation in systems science and control engineering.
  • Significance:
    Systems Science & Control Engineering plays a crucial role in advancing the study and application of systems science and control engineering by providing a platform for high-quality research and practical insights. Its contributions support the development of innovative solutions and technologies that address current and emerging challenges in these fields. The journals commitment to excellence and its interdisciplinary focus make it an essential resource for anyone involved in research, development, and application in systems science and control engineering. Through its rigorous scholarship and broad coverage, Systems Science & Control Engineering helps shape the future of these disciplines.

  • Editor-in-Chief:  Professor Zidong Wang

  • Scope: The Systems Science & Control Engineering journal focuses on the latest research and advancements in systems science and control engineering. Its scope includes, but is not limited to:
  • Systems Theory: Research on the fundamental principles and methodologies of systems theory, including system modeling, analysis, and design.
  • Control Systems: Studies on the design, analysis, and implementation of control systems, including feedback control, robust control, adaptive control, and optimal control.
  • Automation: Research on the automation of industrial processes, robotics, manufacturing systems, and automation technologies.
  • System Identification: Exploration of techniques for identifying and modeling dynamic systems from experimental data.
  • Nonlinear Systems: Research on the analysis and control of nonlinear systems, including nonlinear dynamics, chaos theory, and bifurcation analysis.
  • Stochastic Systems: Studies on the modeling and control of stochastic systems, including stochastic processes, filtering, and estimation.
  • Discrete Event Systems: Research on the modeling, analysis, and control of discrete event systems, including Petri nets, automata theory, and queuing systems.
  • Hybrid Systems: Exploration of systems that exhibit both continuous and discrete dynamic behaviors, including hybrid control systems and hybrid automata.
  • Intelligent Systems: Research on the application of artificial intelligence and machine learning in control engineering, including neural networks, fuzzy logic, and genetic algorithms.
  • Networked Control Systems: Studies on the control of systems over communication networks, including networked control, distributed control, and multi-agent systems.
  • Robust Control: Research on control techniques that ensure system performance in the presence of uncertainties and disturbances.
  • Adaptive Control: Studies on control methods that adapt to changes in system dynamics and environments.
  • Optimal Control: Research on techniques for optimizing the performance of control systems, including linear quadratic regulation, model predictive control, and dynamic programming.
  • Fault Detection and Diagnosis: Exploration of methods for detecting, isolating, and diagnosing faults in control systems.
  • Real-Time Control: Research on the design and implementation of control systems that operate in real-time, including real-time operating systems and embedded control.
  • Mechatronics: Studies on the integration of mechanical, electrical, and computer engineering in the design of intelligent systems and products.
  • Biomedical Systems: Research on the application of systems science and control engineering in biomedical engineering, including medical devices, physiological modeling, and healthcare systems.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  21642583

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus

  • Imapct Factor 2024:  4.4

  • Subject Area and Category:  Computer Science,Artificial Intelligence,Engineering, Control and Systems Engineering,Mathematics,Control and Optimization

  • Publication Frequency:  

  • H Index:  38

  • Best Quartile:

    Q1:  Control and Optimization

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  5.9

  • SNIP:  0.929

  • Journal Rank(SJR):  0.783