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
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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
Inhaltsangabe
1. Introduction 2. Preliminaries 3. Secure Cooperative Tracking Control for Homogeneous Linear Multi-Agent Systems Under Two Types of Attack 4. Event-Triggered Secure Cooperative Tracking Control for Homogeneous Linear Multi-Agent Systems Under DoS attacks 5. Resilient Time-Varying Formation Tracking of Continuous-Time Heterogeneous Linear Multi-Agent Systems Under FDI attacks and DoS Attacks 6. Discrete-Time Adaptive Distributed Output Observer Design for Resilient Time-Varying Formation Tracking of Discrete-Time Heterogeneous Linear Multi-Agent Systems Under FDI Attacks Over Directed Graphs 7. Finite-Time Resilient Distributed Convex Optimization for Multi-Agent Systems with Disturbance Rejection 8. Attack-Resilient Distributed Convex Optimization for Multi-Agent Systems Against Malicious Cyber-Attacks over Random Digraphs 9. Resilient Distributed Nash Equilibrium Seeking of Non-cooperative Games for Uncertain Heterogeneous Linear Multi-Agent Systems 10. Attack-Resilient Distributed Algorithms for Exponential Nash Equilibrium Seeking 11. Conclusions and Future Work
1. Introduction 2. Preliminaries 3. Secure Cooperative Tracking Control for Homogeneous Linear Multi-Agent Systems Under Two Types of Attack 4. Event-Triggered Secure Cooperative Tracking Control for Homogeneous Linear Multi-Agent Systems Under DoS attacks 5. Resilient Time-Varying Formation Tracking of Continuous-Time Heterogeneous Linear Multi-Agent Systems Under FDI attacks and DoS Attacks 6. Discrete-Time Adaptive Distributed Output Observer Design for Resilient Time-Varying Formation Tracking of Discrete-Time Heterogeneous Linear Multi-Agent Systems Under FDI Attacks Over Directed Graphs 7. Finite-Time Resilient Distributed Convex Optimization for Multi-Agent Systems with Disturbance Rejection 8. Attack-Resilient Distributed Convex Optimization for Multi-Agent Systems Against Malicious Cyber-Attacks over Random Digraphs 9. Resilient Distributed Nash Equilibrium Seeking of Non-cooperative Games for Uncertain Heterogeneous Linear Multi-Agent Systems 10. Attack-Resilient Distributed Algorithms for Exponential Nash Equilibrium Seeking 11. Conclusions and Future Work
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