A Survey on Active Fault-Tolerant Control Systems

Abbaspour, Alireza; Mokhtari, Sohrab; Sargolzaei, Arman; Yen, Kang K.

doi:10.3390/electronics9091513

Cited by 104 publications

(56 citation statements)

References 165 publications

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“…Cooperative decision making is essential to a variety of different systems, including swarm robotics, in which blockchain has already been extremely successfully applied [123]. The secure and consistent control of these autonomous devices was one of the main features keeping it back, but, with the application of blockchain technology in the field, many of the underlying problems were overcome due largely to the security, flexibility, and scalability of blockchain, as well as its low resource use when using its Proof-of-Authority algorithm [123][124][125]. Through an experiment implementing it into the decision-making process, it was shown to excel in this area, allowing for different parties in the swarm to communicate seamlessly, and thus avoid colliding and allow work in an intelligent manner [123].…”

Section: Application Of Blockchain In Collective Decisionmentioning

confidence: 99%

Blockchain Applications to Improve Operation and Security of Transportation Systems: A Survey

2021

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Blockchain technology continues to grow and extend into more areas with great success, which highlights the importance of studying the fields that have been, and have yet to be, fundamentally changed by its entrance. In particular, blockchain technology has been shown to be increasingly relevant in the field of transportation systems. More studies continue to be conducted relating to both fields of study and their integration. It is anticipated that their existing relationships will be greatly improved in the near future, as more research is conducted and applications are better understood. Because blockchain technology is still relatively new as compared to older, more well-used methods, many of its future capabilities are still very much unknown. However, before they can be discovered, we need to fully understand past and current developments, as well as expert observations, in applying blockchain technology to the autonomous vehicle field. From an understanding and discussion of the current and potential future capabilities of blockchain technology, as provided through this survey, advancements can be made to create solutions to problems that are inherent in autonomous vehicle systems today. The focus of this paper is mainly on the potential applications of blockchain in the future of transportation systems to be integrated with connected and autonomous vehicles (CAVs) to provide a broad overview on the current related literature and research studies in this field.

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Section: Application Of Blockchain In Collective Decisionmentioning

confidence: 99%

Blockchain Applications to Improve Operation and Security of Transportation Systems: A Survey

2021

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“…As shown in (4), the structure of the control signal (2) is changed depending on the distance of the state trajectories to the equilibrium point (the origin of the phase plane in this case). From its initial conditions, the state trajectories move firstly towards the surface characterized by s = 0.…”

Section: The Genesis Of Sliding Mode Control Theorymentioning

confidence: 99%

Sliding Mode Control with Application to Fault-Tolerant Control: Assessment and Open Problems

et al. 2021

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This paper is prepared within a collaboration between the Instituto Politécnico Nacional, which is a Mexican research institute that manages research on sliding-mode control theory, and the ARIA research team of the Intégration du Matériau au Système Lab., a French research group that engages research on model-based fault diagnosis and fault-tolerant control theories. The paper reviews the application of sliding mode control techniques to fault tolerant control and provides perspectives leading to posing some open problems. Operating principles, definitions of the basic concepts are recalled along with the control objectives and design procedures. The evolution of the sliding mode control technique through five generations (as classified by Fridman, Moreno and co-workers) is reviewed. Their respective design procedures, limitations, and robustness properties are also highlighted. The application of the five generations of sliding-mode controllers to fault-tolerant control is discussed. The focus is on some open problems that are judged to commonly be overlooked. Some applications in real-world systems are also presented.

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“…The automated systems' entanglements could endanger the entire system's performance, where a small fault or malfunction would lead to a cascade failure. Thus, fault detection in ICSs, especially in critical infrastructures such as large-scale power plants, has attracted much attention in recent years [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

A Machine Learning Approach for Anomaly Detection in Industrial Control Systems Based on Measurement Data

Abbaspour²,

et al. 2021

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Attack detection problems in industrial control systems (ICSs) are commonly known as a network traffic monitoring scheme for detecting abnormal activities. However, a network-based intrusion detection system can be deceived by attackers that imitate the system’s normal activity. In this work, we proposed a novel solution to this problem based on measurement data in the supervisory control and data acquisition (SCADA) system. The proposed approach is called measurement intrusion detection system (MIDS), which enables the system to detect any abnormal activity in the system even if the attacker tries to conceal it in the system’s control layer. A supervised machine learning model is generated to classify normal and abnormal activities in an ICS to evaluate the MIDS performance. A hardware-in-the-loop (HIL) testbed is developed to simulate the power generation units and exploit the attack dataset. In the proposed approach, we applied several machine learning models on the dataset, which show remarkable performances in detecting the dataset’s anomalies, especially stealthy attacks. The results show that the random forest is performing better than other classifier algorithms in detecting anomalies based on measured data in the testbed.

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A Survey on Active Fault-Tolerant Control Systems

Cited by 104 publications

References 165 publications

Blockchain Applications to Improve Operation and Security of Transportation Systems: A Survey

Blockchain Applications to Improve Operation and Security of Transportation Systems: A Survey

Sliding Mode Control with Application to Fault-Tolerant Control: Assessment and Open Problems

A Machine Learning Approach for Anomaly Detection in Industrial Control Systems Based on Measurement Data

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