Resilient Cooperative Control and Optimization of Multi-Agent Systems - Feng, Zhi; Dong, Xiwang; Hu, Guoqiang; Lyu, Jinhu
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Erscheint vorauss. 1. Februar 2025
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Resilient Cooperative Control and Optimization of Multi-Agent Systems addresses various resilient cooperative control and optimization problems of multi-agent systems that are vulnerable to physical failure and cyber attacks and consist of multiple decision-making agents that interact in a shared environment to achieve common or conflicting goals. Critical infrastructures, such as smart grids, wireless sensor network, multi-robot system, etc., are typical examples of multi-agent systems that consist of the large-scale physical processes which are monitored and controlled over a set of communication networks and computers.…mehr

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Produktbeschreibung
Resilient Cooperative Control and Optimization of Multi-Agent Systems addresses various resilient cooperative control and optimization problems of multi-agent systems that are vulnerable to physical failure and cyber attacks and consist of multiple decision-making agents that interact in a shared environment to achieve common or conflicting goals. Critical infrastructures, such as smart grids, wireless sensor network, multi-robot system, etc., are typical examples of multi-agent systems that consist of the large-scale physical processes which are monitored and controlled over a set of communication networks and computers.
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Autorenporträt
Dr Zhi Feng joined the School of Automation Science and Electrical Engineering, Beihang University, Beijing, in2022, where he is currently an associate professor. He received the Ph.D. degree in Control Science and Engineering from Nanyang Technological University, Singapore, in 2017, where he worked as a research fellow from 2018 to 2020; he was a Wallenberg-NTU Presidential Postdoctoral Fellow from 2020 to 2022. His research interests include distributed control, optimization, and game theory with applications to multi-robot systems