Cyber-Attack Detection with Fault Accommodation Based on Intelligent Generalized Predictive Control

Yaseen, Amer Atta; Bayart, Mireille

doi:10.1016/j.ifacol.2017.08.111

Cited by 9 publications

(3 citation statements)

References 12 publications

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“…For nonlinear chaotic systems, sliding mode control with actuator fault and decentralized sliding mode for heterogeneous MASs problem of fault tolerant control considering both DoS and network fault is discussed in [25,131]. It is to be supposed that network fault contains of deterioration, signal attenuation, and perturbations of couplings those are in nonlinear form.…”

Section: Cooperative Attack Methodologiesmentioning

confidence: 99%

“…Likewise, a model diagnosis system and free-fall detection were studied for designing cyberattack detector for the distribution system of water [26]. For detection and differentiation of both cyberattacks and fault, an intelligent generalized predictive controller was intended [25,116]. Cyberattack can be targeted by recognized weakness in the system, which is weak point of FDI, different from losers commonly arbitrary or random.…”

Section: Quasi Fault Detection and Isolation Techniques (Fdi)mentioning

confidence: 99%

“…Centralized security problem for stochastic system linear time-invariant with multidate-sensors fusion subject to deception attack is studied in [6]. Data transferred on each sensor by adversaries as extra signal which makes feasible boundary situations such as [25,150]. For formulation individual rate discrete time systems, there was use of lifting technique.…”

Section: Deception Attack Detection or Identificationmentioning

confidence: 99%

See 2 more Smart Citations

An Overview of Recent Advances of Resilient Consensus for Multiagent Systems under Attacks

Aslam

Ahmed

et al. 2022

Computational Intelligence and Neuroscience

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Consensus control of multiagent systems (MASs) has been one of the most extensive research topics in the field of robotics and automation. The information sharing among the agents in the MASs depends upon the communication network because the interaction of agents may affect the consensus performance of the agents in a communication network. An unexpected fault and attack may occur on one agent and can propagate through the communication network into other agents. Thus, this may cause severe degradation of the whole MASs. In this paper, we first discussed MAS technologies. After that available technologies for the modeling of attacks and fundamental issues due to attacks on MAS attacks were discussed. We also introduced cooperative attack methodologies and model-based attack methodology. Objective of this article is to provide comprehensive study on recent advances in consensus control of MASs under attacks covering the published results until 2021. This survey presents different kinds of attacks, their estimation and detection, and resilient control against attacks. At the end, the survey accomplishes some potential recommendations for future direction to solve the key issues and challenges reported for secure consensus control of MASs.

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Section: Cooperative Attack Methodologiesmentioning

confidence: 99%

Section: Quasi Fault Detection and Isolation Techniques (Fdi)mentioning

confidence: 99%