Journals & Book Series

Concerned with the theory of model-based robust control systems theory and design, whether or not the system includes nonlinearities. Papers on data-driven control and machine learning are also encouraged. Submissions are expected to address control design issues and include a control design example, normally (but not exclusively) for engineering applications. Established in 1991, published by John Wiley & Sons.

Focused on novel advances in adaptive control, adaptive filtering, and estimation. Signal processing topics of interest are those concerned with problems in adaptive control or filtering. Application examples are normally related to engineering and industrial systems, including condition and fault monitoring using model-based or data-driven methods. Established in 1987, published by John Wiley & Sons.

Focused on new developments in optimal control design methods, including novel advances in optimal control theory that are general and suitable for applications. New developments in optimization algorithms are encouraged, including AI-inspired methods, though the use of an optimization algorithm alone is not sufficient to qualify a paper for publication. Established in 1980, published by John Wiley & Sons.

Aims to promote the development of advanced control and estimation methods that can improve industrial and other control applications. Papers should focus on novel control design and optimization methods that provide performance improvements, spanning industrial process control, automotive systems, aerospace and defence, medical robotics, energy systems, and marine applications. Suitable papers normally introduce the mathematical basis of the synthesis and design problems, and include an applications study or example involving model descriptions, design procedures, and representative simulation results. Established in 2019, published by John Wiley & Sons.

A monograph series focusing on the applications of advanced and novel control methods, with worldwide distribution to engineers, researchers, and libraries. The series promotes the exchange of information between academia and industry — each book demonstrates a theoretical aspect of an advanced or new control method and shows how it can be applied, either in a pilot plant or a real industrial situation. "Industrial" is interpreted broadly, applying not only to processes in industrial plants but to systems such as machinery controls, avionics, and automotive systems.

Designed to present ideas in control and signal processing in a manner suitable for students and tutors on advanced undergraduate and graduate courses. Subject matter may be theoretical or applied, but must be suitable for learning at this level — the series takes a long view of a subject rather than covering the latest cutting-edge research. Volumes are designed to be adopted as classroom textbooks, often augmented with accessory material such as MATLAB® files or PDF slides for teaching, and are peer reviewed with classroom tuition in mind.