Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control Under Switching Topologies

Keyphrases

• Gaussian Process 100%
• Multi-agent Systems 100%
• Tracking Control 100%
• Cooperative Learning 100%
• Switching Topology 100%
• Euler-Lagrange Systems 100%
• System Tracking 100%
• Complex Scenarios 50%
• Gaussian Process Regression 50%
• Tracking Error 50%
• Promising Solutions 50%
• Learning-based 50%
• Lyapunov Stability Analysis 50%
• High Probability 50%
• Simulation Experiment 50%
• Computationally Intensive 50%
• Communication Structure 50%
• Dynamic Communication 50%
• Posterior Variance 50%
• Prediction Uncertainty 50%
• Uncertain Dynamics 50%
• Tracking Control Problem 50%
• Bounded Tracking 50%
• Distributed Control Law 50%
• Euler-Lagrange 50%
• Standout 50%
• Innovative Learning 50%
• Robust Tracking Control 50%
• Completely Unknown Dynamics 50%
• Variance Calculation 50%
• Aggregation Weights 50%
• Correlation-aware 50%
• Switching Communication Topology 50%

Engineering

• Lagrange 100%
• Agent System 100%
• Gaussians 100%
• Lyapunov Stability Analysis 50%
• Simulation Experiment 50%
• Distributed Control Law 50%

Computer Science

• tracking control 100%
• Switching Topology 100%
• Multi Agent Systems 66%
• Tracking Error 33%
• Stability Analysis 33%
• Distributed Control 33%
• Simulation Experiment 33%
• Lyapunov Stability 33%