Zhi Feng,
Xiwang Dong,
Guoqiang Hu,
Jinhu Lyu
e.a.
Elsevier Science
e druk, 2025
9780443329883
Resilient Cooperative Control and Optimization of Multi-Agent Systems
Specificaties
Paperback, blz.
|
Engels
Elsevier Science |
e druk, 2025
ISBN13: 9780443329883
Rubricering
Levertijd ongeveer 8 werkdagen
Samenvatting
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.
Specificaties
Inhoudsopgave
1. Introduction<br>2. Preliminaries<br>3. Secure Cooperative Tracking Control for Homogeneous Linear Multi-Agent Systems Under Two Types of Attack<br>4. Event-Triggered Secure Cooperative Tracking Control for Homogeneous Linear Multi-Agent Systems Under DoS attacks<br>5. Resilient Time-Varying Formation Tracking of Continuous-Time Heterogeneous Linear Multi-Agent Systems Under FDI attacks and DoS Attacks<br>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<br>7. Finite-Time Resilient Distributed Convex Optimization for Multi-Agent Systems with Disturbance Rejection<br>8. Attack-Resilient Distributed Convex Optimization for Multi-Agent Systems Against Malicious Cyber-Attacks over Random Digraphs<br>9. Resilient Distributed Nash Equilibrium Seeking of Non-cooperative Games for Uncertain Heterogeneous Linear Multi-Agent Systems<br>10. Attack-Resilient Distributed Algorithms for Exponential Nash Equilibrium Seeking<br>11. Conclusions and Future Work