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Full Description
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.
Contents
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
