Control Theory and Technology
Published by Springer Nature
ISSN : 2095-6983 eISSN : 2198-0942
Abbreviation : Control. Theory Technol.
Aims & Scope
The Control Theory and Technology publishes high-quality papers on original, theoretical and experimental research and development in the area of systems and control, including all aspects of control theory and its applications.
Its function is to provide a forum for domestic, as well as international, scientists and engineers in this field to exchange their knowledge and experiences.
Articles for submission may be survey papers, or reviews on well established or newly emerging research topics, techniques, etc.; or regular papers which describe new well developed theoretical results or applications; or brief papers which present new techniques, concepts, perspectives, etc.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 1.5 |
2024 | 1.70 |
Journal Rank
Year | Value |
---|---|
2024 | 13146 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 275 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.428 |
Quartile
Year | Value |
---|---|
2024 | Q2 |
h-index
Year | Value |
---|---|
2024 | 40 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Engineering and Mathematics, designed to support cutting-edge academic discovery.
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.
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Active disturbance rejection control: some recent experimental and industrial case studies
Citation: 99
Authors: Qing, Zhiqiang
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Yet another tutorial of disturbance observer: robust stabilization and recovery of nominal performance
Citation: 88
Authors: Hyungbo, Gyunghoon, Youngjun, Juhoon, Nam Hoon
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On transitioning from PID to ADRC in thermal power plants
Citation: 84
Authors: Zhenlong, Zhiqiang, Donghai, YangQuan, Yanhong
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Active disturbance rejection control: between the formulation in time and the understanding in frequency
Citation: 66
Authors: Qing, Zhiqiang
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Discrete-time dynamic graphical games: model-free reinforcement learning solution
Citation: 65
Authors: Mohammed I., Frank L., Magdi S., Dariusz G.
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Robot impedance control and passivity analysis with inner torque and velocity feedback loops
Citation: 59
Authors: Michele, Gustavo A., Thiago, Marco, Claudio, Jonas, Darwin G.
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Model predictive control for hybrid vehicle ecological driving using traffic signal and road slope information
Citation: 58
Authors: Kaijiang, Junqi, Daisuke
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Gain-scheduling control of a floating offshore wind turbine above rated wind speed
Citation: 56
Authors: Omid, Ryozo
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Dynamic optimization for multi-agent systems with external disturbances
Citation: 56
Authors: Xinghu, Peng, Yiguang