Enabling scalable Model Predictive Control design for building HVAC systems using semantic data modelling
Abstract Model Predictive Control (MPC) is a promising optimal control technique to reduce
the energy consumption of Heating, Ventilation, and Air Conditioning systems in buildings …
the energy consumption of Heating, Ventilation, and Air Conditioning systems in buildings …
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 …
Kernel-based Learning for Safe Control of Discrete-Time Unknown Systems under Incomplete Observations
Safe control for dynamical systems is critical, yet the presence of unknown dynamics poses
significant challenges. In this paper, we present a learning-based control approach for …
significant challenges. In this paper, we present a learning-based control approach for …