Fault Detection and State Estimation in Automatic Control.

This document is a literature review that explores the importance of fault detection and state estimation in automatic control systems. It discusses the integration of advanced methodologies and technologies, such as artificial intelligence and deep learning, in these fields. The document acknowledges the challenges faced in fault detection and state estimation, including nonlinear dynamics and sensor faults, and suggests the use of machine learning techniques and diverse methods as potential solutions. It concludes by emphasizing the significance of fault detection and state estimation in industrial production processes. The document also provides a list of research articles published in the journal "Applied Sciences," covering topics such as sensor control, aircraft control, power system control, and robot control. The articles are authored by researchers from different countries, including China, Romania, and Poland, and the authors declare no conflicts of interest. [Extracted from the article]