IET Control Theory & Applications is devoted to control systems in the broadest sense, covering new theoretical results and the applications of new and established control methods. Among the topics of interest are system modelling, identification and simulation, the analysis and design of control systems (including computer-aided design), and practical implementation. The scope encompasses technological, economic, physiological (biomedical) and other systems, including man-machine interfaces.

Most of the papers published deal with original work from industrial and government laboratories and universities, but subject reviews and tutorial expositions of current methods are welcomed. Correspondence discussing published papers is also welcomed.

Applications papers need not necessarily involve new theory. Papers which describe new realisations of established methods, or control techniques applied in a novel situation, or practical studies which compare various designs, would be of interest. Of particular value are theoretical papers which discuss the applicability of new work or applications which engender new theoretical applications.

Special Issue on Adaptive Control Algorithms for Complex Dynamical Systems
Día de Entrega: 2024-12-31

In many industrial applications, the process parameters of many control systems are unknown or partially unknown. Due to these uncertainties and unknown factors, most practical industrial production processes cannot be described by simple deterministic models and would be quite difficult to control in practice. Therefore, adaptive controllers are considered as an important method to solve process uncertainty problems. Adaptive control scheme has attracted significant attention over the past few decades. It is known that the adaptive control model is a powerful tool for representing complex dynamical systems and many adaptive control methods have been successfully applied to the engineering field. Recently, many new results of modelling, control, and monitoring are developed in adaptive control systems, such as stochastic control, intelligent control, data-driven control and so on.

We invite authors to contribute original research articles as well as review articles related to all aspects of modelling, control methods, optimization theories, monitoring, signal processing and fault detection for complex dynamical systems with adaptive control algorithms. All the submissions are expected to have original ideas and new approaches. Of particular interest are papers devoted to the development of engineering applications. Papers presenting computational issues, search strategies, and modelling and solution techniques to practical problems are also welcome.

Topics for this call for papers include but not restricted to:

    Adaptive control and optimization of intelligent systems
    Adaptive learning control scheme
    Adaptive neural network modelling, control and optimization
    Adaptive fuzzy modelling, control and optimization
    Adaptive data driven modelling, control and optimization
    Adaptive Control and Signal Processing
    Adaptive estimation and fault detection algorithms
    Adaptive fault tolerant control and optimization

Guest Editors:

Shuping He
Anhui University
China

Hai Wang
Murdoch University
Australia

Edi Kurniawan
National Research and Innovation Agency
Indonesia