This article describes the consensus control issue of networked multi-agent system with controller area network bus–induced delay in the frequency domain. Initially, causes of the controller area network bus–induced delay in distributed networked control systems and features of controller area network buses are analyzed. Then, networked multi-agent systems composed of distributed networked control systems are modeled in the frequency domain. An analytical controller based on the parameterization technique is proposed to improve the H2 performance criterion of distributed networked control systems. The performance tracking and robustness of the controller is analyzed by its sensitivity functions. After the performance and robustness analysis, the delay margin criteria and consensus conditions of networked multi-agent systems are derived in the existence of controller area network bus–induced delay. We verify the efficiency of the proposed method by simulating examples.
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.
This paper addresses the importance of planning for unanticipated risks which may lead to losses in peoples' lives and in this study, the lives of Muslim consumers when they are not managing unanticipated risks well. The need to purchase unsought products like life insurance/Takaful dictates the relevance of financial literacy in affecting perceived behavioural control that may influence purchase intention. Design/methodology/approach: This study uses Structural Equation Modelling as means of assessing the proposed framework. Using the Decomposed Theory of Planned Behaviour (DTPB) as the basis, this paper examines the relevance of determinants affecting perceived behavioural control in influencing purchase intention of unsought goods with financial literacy as a new determinant in the DTPB framework. Findings: The findings reveal that financial literacy, resource facilitating condition and selfefficacy affect perceived behavioural control which ultimately influence purchase intention. Practical implications: By examining financial literacy, resource facilitating condition and selfefficacy on perceived behavioural control, the study validated the importance of these constructs in affecting consumers' perceived behavioural control and purchase intention. This study would be useful to life insurance operators, as the findings can be inputs for the formulation and implementation of promotional strategies for life insurance/Takaful. Originality/value: This study provides insights for the inclusion of financial literacy as one of the determinants in the decomposition of perceived behavioural control.
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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