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.