“…So, we can say that the inverse of the matrix exists if it is a full rank. Consequently, the system in equation ( 3) is diagonalizable Ahmed et al (2022).…”
Section: Problem Formulationmentioning
confidence: 99%
“…So, we can say that the inverse of the matrix exists if it is a full rank. Consequently, the system in equation (3) is diagonalizable Ahmed et al (2022).Figure 2.MIMO configurations of closed-loop grouped MAS under deception attack.…”
Section: Problem Formulationmentioning
confidence: 99%
“…Multiagent systems (MASs) comprise several nodes that perform common tasks using a shared communication channel through coordination and communication Nasir et al (2022); Ahmed et al (2022). From the last decade, MASs have been attracted due to their utilization in the field of engineering like robotic networks Yao et al (2020); Wu et al (2018), energy systems Chowdhury and Khalil (2021); Hu et al (2021) and sensor networks Olfati-Saber and Murray (2004); Guyeux et al (2020).…”
This paper deals with the problem of performance tracking and group consensus control of a multiagent system (MAS) under deception attack in the frequency domain. Deception attack, a type of network attack, is modeled and analyzed in a MAS where each agent is a continuous-time system. In contrast to prior works on group consensus, modeling of the attack and its impacts on the MAS are analyzed in the frequency domain. To overcome these effects, an H ∞ robust controller is proposed using the internal stability method. The proposed controller is optimized analytically for H ∞ performance tracking of the MAS and mitigation of deception attack simultaneously. Unlike attacks on communication links, this scheme considers attacks on nodes. The impacts of attacks on the MAS are eliminated without the removal of the compromised nodes. A numerical example demonstrates the effectiveness of the proposed scheme.
“…So, we can say that the inverse of the matrix exists if it is a full rank. Consequently, the system in equation ( 3) is diagonalizable Ahmed et al (2022).…”
Section: Problem Formulationmentioning
confidence: 99%
“…So, we can say that the inverse of the matrix exists if it is a full rank. Consequently, the system in equation (3) is diagonalizable Ahmed et al (2022).Figure 2.MIMO configurations of closed-loop grouped MAS under deception attack.…”
Section: Problem Formulationmentioning
confidence: 99%
“…Multiagent systems (MASs) comprise several nodes that perform common tasks using a shared communication channel through coordination and communication Nasir et al (2022); Ahmed et al (2022). From the last decade, MASs have been attracted due to their utilization in the field of engineering like robotic networks Yao et al (2020); Wu et al (2018), energy systems Chowdhury and Khalil (2021); Hu et al (2021) and sensor networks Olfati-Saber and Murray (2004); Guyeux et al (2020).…”
This paper deals with the problem of performance tracking and group consensus control of a multiagent system (MAS) under deception attack in the frequency domain. Deception attack, a type of network attack, is modeled and analyzed in a MAS where each agent is a continuous-time system. In contrast to prior works on group consensus, modeling of the attack and its impacts on the MAS are analyzed in the frequency domain. To overcome these effects, an H ∞ robust controller is proposed using the internal stability method. The proposed controller is optimized analytically for H ∞ performance tracking of the MAS and mitigation of deception attack simultaneously. Unlike attacks on communication links, this scheme considers attacks on nodes. The impacts of attacks on the MAS are eliminated without the removal of the compromised nodes. A numerical example demonstrates the effectiveness of the proposed scheme.
“…The presence of disturbances, especially multiple disturbances, make system analysis and controller design more complicated. To deal with the consensus problems of MAS subject to disturbances, a lot of techniques have been investigated such as adaptive techniques, non-linear techniques, and combination of observers (Ahmed et al, 2022; Ahmed et al, 2020, 2021; Chehardoli and Homaeinezhad, 2018; Chen and Shi, 2016; Hou et al, 2017; Huang and Wang, 2020; Li et al, 2020a; Luyben, 2020; Ma et al, 2017; Olfati-Saber and Murray, 2004; Tian and Zhang, 2012; Wang et al, 2018; Ye and Zhang, 2019; Zamanian et al, 2021; Zhang et al, 2019). These techniques discussed the consensus performance of MASs and minimized the effects of input time delay (ITD), communication time delay (CTD), and disturbances.…”
Section: Introductionmentioning
confidence: 99%
“…Luyben (2020) and Ye and Zhang (2019) designed disturbance attenuation techniques subject to disturbances and ITD in the continuous FD. Ahmed et al (2021Ahmed et al ( , 2022 designed robust controllers in FD to mitigate the effects of attacks in MAS.…”
This work describes a cascade consensus control problem of multi-agent systems (MASs) under disturbances in frequency domain (FD). An internal model control–based scheme, a kind of FD scheme is utilized to address the network of agents. Each agent of the network consists of two loops control configuration. Inner-loop control is responsible for single-agent control and eliminates the effects of internal disturbances. Whereas the outer-loop controller works as multi-agent control and eliminates the effects of external disturbances. For both loops, robust quasi-[Formula: see text] controller is derived for disturbance rejection and resilient consensus of all agents. This scheme is novel in the sense that it can eliminate the impacts of disturbances on the MAS without the restriction of the number of nodes. An analytical scheme is utilized for the tuning of the designed controller to track the consensus performance of the network. Numerical examples are given to describe the validity of the proposed algorithm.
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