Fault Diagnosis and Fault-Tolerant Control for Complex Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Fault Diagnosis & Sensors".
Deadline for manuscript submissions: closed (1 November 2024) | Viewed by 1980
Special Issue Editors
Interests: fault-tolerant control; state estimation; time-delay systems; consensus of multi-agent systems; switched neural networks; intelligent fuzzy control and systems
Special Issue Information
Dear Colleagues,
The complex system has too many components that are highly interconnected with each other. The human brain is one of the most beautiful examples of complex systems and infrastructure, such as power grids, transportation systems, ecosystems, and so on. In complex systems, if one fault occurs, it can cause the entire system to fail, or it will give very poor performance during normal operations. In this situation, the control systems play an important role in ensuring the reliability, safety, and efficiency of these systems. With the development of science and technology, modern control systems have become more and more complicated. Roughly speaking, the normal operation of the control systems depends on the normal operation of many internal components. However, due to the increasing complexity of internal components, modern control systems face the risk of internal component failure and communication failure, resulting in the system not working normally. Therefore, fault-tolerant control mechanisms and fault diagnosis methods play important roles in ensuring that complex systems work regularly.
This Special Issue focuses on fault-tolerant control mechanisms and fault diagnosis methods for complex systems. Topics of interest include, but are not limited to, the following:
- Fault-tolerant control for complex networks against sensor and actuator failure;
- Fault diagnosis for complex dynamical networks;
- Fault diagnosis and fault-tolerant control for multi-mode systems;
- Fault-tolerant control for complex cyber-physical systems;
- Fault diagnosis for fuzzy systems;
- Learning-based fault-tolerant control mechanisms and fault diagnosis methods;
- Data-driven approaches for the fault-tolerant control problem.
Prof. Dr. Hao Shen
Prof. Dr. Zhen Wang
Guest Editors
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Keywords
- fault diagnosis
- fault-tolerant control
- complex system
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