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