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Whom to trust? elective learning for distributed gaussian process regression
This paper introduces an innovative approach to enhance distributed cooperative learning
using Gaussian process (GP) regression in multi-agent systems (MASs). The key …
using Gaussian process (GP) regression in multi-agent systems (MASs). The key …
Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control under Switching Topologies
This work presents an innovative learning-based approach to tackle the tracking control
problem of Euler-Lagrange multi-agent systems with partially unknown dynamics operating …
problem of Euler-Lagrange multi-agent systems with partially unknown dynamics operating …
Decentralized event-triggered online learning for safe consensus control of multi-agent systems with Gaussian process regression
Consensus control in multi-agent systems has received significant attention and practical
implementation across various domains. However, managing consensus control under …
implementation across various domains. However, managing consensus control under …
Decentralized Event-Triggered Online Learning for Safe Consensus of Multi-Agent Systems with Gaussian Process Regression
Consensus control in multi-agent systems has received significant attention and practical
implementation across various domains. However, managing consensus control under …
implementation across various domains. However, managing consensus control under …