Journal of Dynamic Systems, Measurement and Control

Aims & Scope

The Journal of Dynamic Systems, Measurement, and Control publishes original papers, both theoretical and applied, focusing on modeling, sensing, identification, and control of dynamical systems in traditional mechanical engineering and associated interdisciplinary areas.

Theoretical papers should present new theoretical developments and knowledge for control of dynamical systems together with clear engineering motivation for the new theory.

New theory or results that are only of mathematical interest without a clear engineering motivation or have a cursory relevance only are discouraged. "Application" is understood to include simulation of realistic systems and corroboration of theory with emphasis on demonstrated practicality.

Adaptive control; Aerospace systems; Automotive systems; Biosystems; Computer control; Control based on data analytics and machine learning; Distributed parameter systems and control; Energy systems and control; Fluid control systems; Instrumentation and components; Manufacturing technology; Mechatronics; Modeling and identification; Nonlinear systems and control; Optimal control; Power systems; Production systems; Real-time control; Robotics; Robust control; Servomechanisms; Signal processing; Systems theory; Transportation systems; Uncertain systems.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.3
2024	1.70

SJR (SCImago Journal Rank)

Year	Value
2024	0.463

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	100

Journal Rank

Year	Value
2024	12332

Journal Citation Indicator

Year	Value
2024	510

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Engineering and Physics and Astronomy, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Impedance Control: An Approach to Manipulation: Part I—Theory

  Citation: 3283

  Authors: Neville

• Hybrid Position/Force Control of Manipulators

  Citation: 2266

  Authors: M. H., J. J.

• A New Approach to Manipulator Control: The Cerebellar Model Articulation Controller (CMAC)

  Citation: 1624

  Authors: J. S.

• Preshaping Command Inputs to Reduce System Vibration

  Citation: 1357

  Authors: N. C., W. P.

• Modeling and Control of Elastic Joint Robots

  Citation: 1295

  Authors: M. W.

• On-Line Computational Scheme for Mechanical Manipulators

  Citation: 1159

  Authors: J. Y. S., M. W., R. P. C.

• Zero Phase Error Tracking Algorithm for Digital Control

  Citation: 1153

  Authors: Masayoshi

• Optimum Settings for Automatic Controllers

  Citation: 1078

  Authors: J. G., N. B.

• Feedback Systems: Input-Output Properties

  Citation: 1077

  Authors: C. A., M., Alan N.

• Computer Simulation of Stick-Slip Friction in Mechanical Dynamic Systems

  Citation: 907

  Authors: Dean

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