Eventos de MATLAB y Simulink

Video length is 1:02:29

HVAC Digital Twin for Control Design

Overview

In this session, MathWorks engineers will demonstrate how to leverage a digital twin of an HVAC system to design and test HVAC control systems. Tuning of single and multi-zone control systems using optimization will be demonstrated for traditional control design. Additionally, AI-based reinforcement learning approaches will be demonstrated to design a smart thermostat algorithm to minimize energy while satisfying specified comfort boundaries.

Highlights

  • Leveraging digital twin of HVAC systems for control design
  • Optimizing HVAC control gains for performance
  • Using AI-based approaches for smart thermostat training

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