Current trends in industrial control

This paper demonstrates the outline of the recently published literatures on the field of industrial control and gives an overview about the current trends of control issues in various industrial applications. Controllers can be divided into different categories according to different control algorithms and technologies, which includes PID algorithm, Kalman filter, least squares regression, network-based automation, fuzzy inference systems, neural networks, radial basis function networks and sliding-mode control and so on. A brief introduction will be given for every paper related to these control technologies and applications.