Sensor-Based State Estimation and Fault Diagnosis in Automatic Control
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Fault Diagnosis & Sensors".
Deadline for manuscript submissions: 20 February 2025 | Viewed by 16
Special Issue Editor
Interests: unknown input observer design; disturbance observer design; fault diagnosis; fault detection and fault-tolerant control; security control for CPS; security state estimation; cooperative control for multi-agent system; attack detection for CPS and MAS; T-S fuzzy model control; sliding mode robust control
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
For most practical control systems, state information is difficult or expensive to be totally measured by sensors. One of the alternatives for solving this problem is trying to obtain the full state estimation by partially measuring state information through a reasonable sensor layout. In fact, the concept of the state estimator or observer was developed by Luenberger in the 1960s. Additionally, practical control systems are inevitable with uncertainties, including system parameter variation, external disturbance and fault signal, which can all be regarded as unknown inputs impacting the system. Therefore, designing a state observer to estimate the system state in the presence of unknown inputs, which is also called an unknown input observer (UIO), is a challenging issue. In fact, just after the Luenberger observer was developed, UIO design issues were raised. Since the Luenberger observer was developed, the designs of all kinds of observers, including adaptive observers, robust observers, sliding model observers and UIOs, have attracted researchers’ attentions.
On the other hand, state estimation techniques have already played an important role in control engineering designs. In addition to the original application for state feedback controller design purpose, one of the other major applications of state estimation techniques or observers is observer-based actual and sensor fault diagnosis, including fault detection, fault reconstruction and fault-tolerant control. In fact, observer-based fault diagnosis becomes one of the major methods in model-based fault diagnosis techniques, and investigations on this issue are still a meaningful but challenging open task.
The topics for this Special Issue include (but are not limited to) the following:
- Observer designs, especially designs of UIOs, interval observers and distributed observers for multiple sensor systems;
- Observer-based actual and sensor fault diagnosis, including fault detection, fault reconstruction and fault-tolerant control;
- Malicious attack detection and secure control problem discussions in view of cyber–physic systems (CPSs) or multiple-agent systems (MASs);
- The applications of observers in real engineering developments.
Prof. Dr. Fanglai Zhu
Guest Editor
Manuscript Submission Information
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Keywords
- state observer
- disturbance observer
- UIO
- distributed observer
- fault detection
- fault reconstruction
- fault-tolerant control
- attack detection and secure control
