Adaptive Leader Following of Matrix Weighted Network
Abstract
This study investigates adaptive leader-following in linear multi-agent systems under matrix weighted networks. The proposed protocol employs switching logic to adjust coupling weights in a piecewise-constant manner using only local information from neighboring agents. Therefore, the proposed protocol is completely decentralized and independent of global information about network topology. The method's effectiveness is demonstrated through a numerical example of a matrix weighted network.
Fields of Study & Subjects
Distributed Control Multi-Agent Systems
Neural Networks Stability and Synchronization
Traffic control and management
Publication details
- Journal / source
- Journal of Institute of Control Robotics and Systems
- Volume
- 32
- Issue
- 1
- Pages
- 1–7
- Publication date
- 1 January 2026
- Language
- EN