Perspectives in Fault Diagnosis and Fault Tolerant Control

Dear Colleagues,

Many highly complex unmanned autonomous systems (e.g., unmanned aerial vehicles, unmanned ground vehicles, unmanned surface vehicles, unmanned underwater vehicles, unmanned airships, unmanned aerial manipulators, satellites, spacecraft systems), intelligent equipment systems, and high-precision components have been developed to improve task execution efficiency. The increased complexity renders these systems and components susceptible to faults, which may significantly degrade the operational performance or even cause catastrophic accidents. Even though fault detection and diagnosis (FDD) and fault-tolerant control (FTC) strategies have been widely investigated to estimate and attenuate the adverse effects caused by faults, FDD and FTC investigations have still faced major challenges with increasing safety requirements. Many new factors now have to be considered that have not yet been addressed. Therefore, the aim of this Topic is to bring together original research articles and review articles in the field of FDD and FTC technology and promote related techniques in the proposed areas.

This Topic provides a platform for worldwide researchers to present their research works related to the theory and practical applications for FDD and FTC. Topics of interest include but are not limited to the following:

• Model-based FDD design;
• Data-driven FDD design;
• Intelligent FDD design;
• Condition monitoring;
• Prognostics and health management;
• FTC design against various constraints;
• Intelligent fuzzy/neural/neural fuzzy adaptive FTC design;
• Adaptive reinforcement learning for FTC;
• Fractional-order FTC;
• Fault-tolerant guidance and control;
• Integrated design of FDD and FTC;
• Safe control of systems against actuator, sensor, communication attacks, etc.

Dr. Ziquan Yu
Prof. Dr. Youmin Zhang
Topic Editors