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 ControllersNonlinear, Robust and Intelligent Adaptive ControllersLinear and Nonlinear Multivariable System Identification and EstimationIdentification of Linear Parameter Varying, Distributed and Hybrid SystemsMultiple Model Adaptive ControlAdaptive Signal processing Theory and AlgorithmsAdaptation in Multi-Agent SystemsCondition Monitoring SystemsFault Detection and Isolation MethodsFault Detection and Isolation MethodsFault-Tolerant Control (system supervision and diagnosis)Learning Systems and Adaptive ModellingReal Time Algorithms for Adaptive Signal Processing and ControlAdaptive Signal Processing and Control ApplicationsAdaptive Cloud Architectures and NetworkingAdaptive Mechanisms for Internet of ThingsAdaptive Sliding Mode Control.