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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 1314

Special Issue Editor


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Guest Editor
College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China
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
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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

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Keywords

  • state observer
  • disturbance observer
  • UIO
  • distributed observer
  • fault detection
  • fault reconstruction
  • fault-tolerant control
  • attack detection and secure control
 

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Published Papers (2 papers)

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20 pages, 775 KiB  
Article
Distributed Consensus Control for Discrete-Time T–S Fuzzy Multiple-Agent Systems Based on an Unknown Input Observer
by Xufeng Ling, Haichuan Xu, Weijie Weng and Fanglai Zhu
Sensors 2024, 24(24), 8149; https://doi.org/10.3390/s24248149 - 20 Dec 2024
Viewed by 379
Abstract
This paper investigates a consensus problem for a class of T–S fuzzy multiple-agent systems (MASs) with unknown input (UI). To begin with, an unknown input observer (UIO) is able to asymptotically estimate the system state and the UI is designed for each agent. [...] Read more.
This paper investigates a consensus problem for a class of T–S fuzzy multiple-agent systems (MASs) with unknown input (UI). To begin with, an unknown input observer (UIO) is able to asymptotically estimate the system state and the UI is designed for each agent. In order to construct the UIO, the state interval estimation is obtained by first using zonotope theory. Next, using the interval estimation of the state, a correlation of the state and the UI is built. Subsequently, a UIO is constructed, which is proposed by building upon the algebraic relationship. Moreover, by using the estimations of the state and the UI, a distributed control protocol is developed based on the proposed UIO. And, with the proposed distributed control protocol, the T–S fuzzy MAS can achieve consensus, in that all the states of the agents can converge to the leader’s state asymptotically. Finally, the effectiveness of the proposed method is demonstrated through two simulation examples. Full article
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17 pages, 1773 KiB  
Article
Robust Distributed Observers for Simultaneous State and Fault Estimation over Sensor Networks
by Dingguo Liang, Yunxiao Ren, Yuezu Lv and Silong Wang
Sensors 2024, 24(23), 7589; https://doi.org/10.3390/s24237589 - 27 Nov 2024
Viewed by 618
Abstract
This paper focuses on simultaneous estimation of states and faults for a linear time-invariant (LTI) system observed by sensor networks. Each sensor node is equipped with an observer, which uses only local measurements and local interaction with neighbors for monitoring. The observability of [...] Read more.
This paper focuses on simultaneous estimation of states and faults for a linear time-invariant (LTI) system observed by sensor networks. Each sensor node is equipped with an observer, which uses only local measurements and local interaction with neighbors for monitoring. The observability of said observer is analyzed where non-local observability of a sensor node is required in terms of the system state and faults. The distributed observers present features of H performance to constrain the influence of disturbances on the estimation errors, for which the global design condition is transformed into a linear matrix inequality (LMI). The LMI is proven to be solvable given collective observability of the system and a suitable H performance index. Moreover, in the case that no disturbances exist, fully distributed observers with adaptive gains are designed to asymptotically estimate the states and faults without using any global information from the network. Finally, the effectiveness of the proposed methods is verified through case studies on a spacecraft’s attitude control system. Full article
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