Fault Detection and State Estimation in Automatic Control

Dear Colleagues,

With level science and technology, the modern industrial production scale degree, modern scale, complexity, and degree of automation of the control system are greatly improved. Additionally, state estimation and fault detection are particularly important in the process of production if they can be achieved before the fault causes damage to the system; further, testing and maintenance can reduce the risk of accidents, improve system security, and reduce the economic loss of production. Therefore, the purpose of this Special Issue is to introduce the latest fault detection algorithms and state estimation methods.

This Special Issue aims to focus on intelligent control, intelligent modeling, computational intelligence, artificial intelligence, machine learning, and fault detection. This fits the scope of Applied Sciences as the practical applications of fault detection and machine learning are incredibly extensive and important.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

• Design and application of fault detection algorithms;
• Design and application of state estimation methods;
• Design and application of machine learning algorithms;
• Automatic control system characteristics analysis;
• Design and application of intelligent control systems.

We look forward to receiving your contributions.

Prof. Dr. Sheng Du
Dr. Wei Wang
Dr. Hao Fu
Prof. Dr. Xiongbo Wan
Guest Editors

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