Adaptive cooperative control of multi-agent systems by Zou, Ying

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Secure detection and control in Cyber-physical systems by Yan, Jiaqi

“…Chapter 6 focuses on another important application of multi-agent systems, namely the resilient containment control in the presence of multiple leaders. …”
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Blockchain adoption in the maritime industry by Pu, Shuyi

“…Secondly, an asymmetric evolutionary game model is built to examine the potential evolution of blockchain adoption rate in multi-agent systems, using blockchain electronic bills of lading as an example. …”
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Distributed resource allocation algorithm design and its application to economic dispatch in smart grids by Bai, Lu

“…The algorithms developed mainly have their basis on consensus algorithms in multi-agent systems and gradient descent methods in optimization theory. …”
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Cooperative localization and control of networked systems by Fang, Xu

“…To steer a group of agents to maneuver as a whole so that they can dynamically respond to environment changes, distributed formation maneuver control algorithms are designed for multi-agent systems, which can steer a team of mobile agents to achieve desired collective maneuvers so that geometric pattern, translation, orientation, and scale of formation can be changed continuously. …”
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Coping with uncertainties in agent cooperation by Chen, Shuo

“…In multi-agent systems, intelligent agents interact with one another to achieve either individual or shared goals. …”
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A holistic approach to trust and reputation management in big data by Leonit Zeynalvand

“…Second, we explain how TRM plays an increasingly important role in large-scale online environments with dense evidence space such as multi-agent systems (MAS) and the IoT. One main objective of TRM is to achieve accurate trust assessment of entities such as agents or IoT service providers. …”
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Fractional-order control systems - theory and applications by Li, Xinyao

“…Therefore, the consensus control problem for linear fractional-order multi-agent systems (MASs) in single-integrator form over directed topology is investigated using sampled-data control. …”
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Multi-agent reinforcement learning for complex sequential decision-making by Qiu, Wei

“…To obtain the policies of all agents, these problems can be modeled as multi-agent systems and solved with multi-agent reinforcement learning (MARL). …”
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Gradient-free distributed optimization and nash equilibrium seeking by Pang, Yipeng

“…With the prevalence of multi-agent system concept, there is a strong interest to investigate the optimization and game problems among multiple agents or decision-makers. …”
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Privacy preservation for linear and learning based inference systems by Wang, Chong Xiao

“…In the first place, we consider a multi-agent system where each agent in a network makes a local observation that is linearly related to a set of public and private parameters. …”
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