International Journal of Adaptive Control and Signal Processing

Aims & Scope

The International Journal of Adaptive Control and Signal Processing is concerned with the design, synthesis and application of estimators or controllers where adaptive features are needed to cope with uncertainties.Papers on signal processing should also have some relevance to adaptive systems.

The journal focus is on model based control design approaches rather than heuristic or rule based control design methods.

All papers will be expected to include significant novel material.

Both the theory and application of adaptive systems and system identification are areas of interest.

Papers on applications can include problems in the implementation of algorithms for real time signal processing and control.

The stability, convergence, robustness and numerical aspects of adaptive algorithms are also suitable topics.

The related subjects of controller tuning, filtering, networks and switching theory are also of interest.

Principal areas to be addressed include: Auto-Tuning, Self-Tuning and Model Reference Adaptive Controllers Nonlinear, Robust and Intelligent Adaptive Controllers Linear and Nonlinear Multivariable System Identification and Estimation Identification of Linear Parameter Varying, Distributed and Hybrid Systems Multiple Model Adaptive Control Adaptive Signal processing Theory and Algorithms Adaptation in Multi-Agent Systems Condition Monitoring Systems Fault Detection and Isolation Methods Fault Detection and Isolation Methods Fault-Tolerant Control (system supervision and diagnosis) Learning Systems and Adaptive Modelling Real Time Algorithms for Adaptive Signal Processing and Control Adaptive Signal Processing and Control Applications Adaptive Cloud Architectures and Networking Adaptive Mechanisms for Internet of Things Adaptive Sliding Mode Control.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	3.8
2024	3.90

Journal Rank

Year	Value
2024	7192

Journal Citation Indicator

Year	Value
2024	2000

SJR (SCImago Journal Rank)

Year	Value
2024	0.765

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	83

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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 and Engineering, 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.

• Iterative feedback tuning—an overview

  Citation: 358

  Authors: HÃ¥kan

• A unified approach to the optimization of fault detection systems

  Citation: 344

  Authors: S. X., T., P. M., E. L.

• Adaptive friction compensation with partially known dynamic friction model

  Citation: 320

  Authors: C. Canudas, P.

• Concurrent learning adaptive control of linear systems with exponentially convergent bounds

  Citation: 307

  Authors: Girish, Tansel, Maximillian, Eric N.

• Application of latent variable methods to process control and multivariate statistical process control in industry

  Citation: 281

  Authors: Theodora

• State estimation for bilinear systems through minimizing the covariance matrix of the state estimation errors

  Citation: 256

  Authors: Xiao, Feng, Erfu

• Distributed attitude alignment in spacecraft formation flying

  Citation: 238

  Authors: Wei

• Learning control theory for robotic motion

  Citation: 235

  Authors: Suguru

• Sliding mode control for a class of uncertain nonlinear system based on disturbance observer

  Citation: 232

  Authors: Mou, Wen‐Hua

• Parallel feedforward and simplified adaptive control

  Citation: 231

  Authors: Izhak

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