Tracking Consensus of Multi-Agent Systems With Varying Number of Agents Under Actuator Attacks
Author:
Affiliation:
1. Department of Systems Science, Southeast University, Nanjing, China
2. Advanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology, Beijing, China
3. School of Engineering, RMIT University, Melbourne, VIC, Australia
Funder
National Natural Science Foundation of China
Australian Research Council through Discovery Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/8920/10349118/10164650.pdf?arnumber=10164650
Reference22 articles.
1. Multi-Agent Correlated Equilibrium Q(λ) Learning for Coordinated Smart Generation Control of Interconnected Power Grids
2. Decentralized cooperative control of heterogeneous vehicle groups
3. Sliding Mode Control-Based Autopilots for Leaderless Consensus of Unmanned Aerial Vehicles
4. Distributed Coordinated Tracking With Reduced Interaction via a Variable Structure Approach
5. Adaptive attack-free protocol for consensus tracking with pure relative output information
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