3 papers
cs.LG2026
Quality or Quantity? Error-Informed Selective Online Learning with Gaussian Processes in Multi-Agent Systems: Extended Version
Zewen Yang, Xiaobing Dai, Jiajun Cheng +2
Effective cooperation is pivotal in distributed learning for multi-agent systems, where the interplay between the quantity and quality of the machine learning models is crucial. Th…
eess.SY2025
Distributed Optimal Coverage Control in Multi-agent Systems: Known and Unknown Environments
Mohammadhasan Faghihi, Meysam Yadegar, Mohammadhosein Bakhtiaridoust +3
This paper introduces a novel approach to solve the coverage optimization problem in multi-agent systems. The proposed technique offers an optimal solution with a lower cost with r…
eess.SY2025
Learning event-triggered controllers for linear parameter-varying systems from data
Renjie Ma, Su Zhang, Wenjie Liu +2
Nonlinear dynamical behaviours in engineering applications can be approximated by linear-parameter varying (LPV) representations, but obtaining precise model knowledge to develop a…