Multiagent Formation Tracking With Multiplex Network Information Guide

  1. Background of Multiagent Formation Tracking With Multiplex Network
  2. Core Information
  3. Recent Updates
  4. Full Guide
  5. Final Thoughts

Background of Multiagent Formation Tracking With Multiplex Network

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Core Information

Details Multiplex Information Networks for Multiagent Systems Update
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Recent Updates

Practical robust formation tracking for multi-agent systems with a nonautonomous leader Update
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Multi Agent Formation based on Self Loop Laplacian (single integrator agents)
Multi Agent Formation based on Self Loop Laplacian (single integrator agents)
Distributed-MPC for Multi-Agent Formation Tracking
Distributed-MPC for Multi-Agent Formation Tracking
Adaptive Formation Control of Open Multi Agent Systems
Adaptive Formation Control of Open Multi Agent Systems
Event-Triggered Formation Tracking Control for Multiagent Systems
Event-Triggered Formation Tracking Control for Multiagent Systems
Adaptive Fault-Tolerant Formation Tracking for Heterogeneous Multi-Agent Systems
Adaptive Fault-Tolerant Formation Tracking for Heterogeneous Multi-Agent Systems
Multi Agent Target tracking
Multi Agent Target tracking
Resilient formation optimal tracking of open multi-agent systems
Resilient formation optimal tracking of open multi-agent systems
Fixed Wing UAV Multi-agent Leader-Follower Formation
Fixed Wing UAV Multi-agent Leader-Follower Formation
Formation Protocols for Networked Multiagent Systems in the Presence of Obstacles (Video 1)
Formation Protocols for Networked Multiagent Systems in the Presence of Obstacles (Video 1)
A Formation Control Framework for MAS in Space-Restricted and Obstacle-Populated Environments
A Formation Control Framework for MAS in Space-Restricted and Obstacle-Populated Environments
What is Multi-agent System Control / Formation Control  (1/3)
What is Multi-agent System Control / Formation Control (1/3)

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Last Updated: October 2, 2026

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Full Formation Control using Multiplex Network Update
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Summary

Presentation for the 2016 American Control Conference. Zhexin Shi, Jianglong Yu, Xiwang Dong, Qingdong Li, Xiaoduo Li, and Zhang Ren, “Practical robust We propose a new algorithm to control the Hi, this is our presentation at 21st ISITIA (International Seminar on Intelligent Technology and Its Applications) 2020. The link to ... This video shows the behavior of This paper addresses discrete-time We propose a real time optimization architecture to establish Simulation video for manuscript: "A Lyapunov-based

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