Cascaded reinforcement learning based supply temperature control

C Huang, S Seidel, J Bräunig - Journal of Physics: Conference …, 2023 - iopscience.iop.org
In this work, a Q-learning based supply temperature control approach for a demonstrator
building is proposed. The purpose is to improve the temperature behaviour inside the building …

A reinforcement learning approach for optimal heating curve adaption

C Huang, S Seidel, F Paschke… - 2022 IEEE 27th …, 2022 - ieeexplore.ieee.org
In this work in progress paper we analyse the potential of intelligent supply temperature
control for a heating network of an office building. As the building is equipped with a low …

Distributed parameter model of the buck converter with constant inductive load

C Huang, F Woittennek, K Röbenack - IFAC-PapersOnLine, 2015 - Elsevier
In this contribution we present a new variant for the well-known buck converter. We substitute
the lumped parameter components of the circuit by the distributed parameter model of a …

Criterion for the existence of a separated coordinate representation for underactuated mechanical systems

C Knoll, C Huang, K Röbenack - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Mechanical rigid body systems typically are modeled by a system of coupled second order
nonlinear differential equations, where the right hand side describes the effect of the system's …

Comparison of different coupling variants for building and HVAC simulation

C Huang, E Eckstädt - Journal of Physics: Conference Series, 2023 - iopscience.iop.org
Coupled building and HVAC simulations applying the FMI standard promise many
advantages in terms of system design and optimisation. In this paper, a systematic analysis of …

Brockett's condition and local controllability in the context of underactuated mechanical systems

C Huang, K Röbenack - 2017 3rd International Conference on …, 2017 - ieeexplore.ieee.org
For an underactuated mechanical system, it is well known that if the system has no potential
energy, it cannot be asymptotically stabilized to an equilibrium by smooth time invariant …

Optimal control of building energy systems with multiple energy sources using predictive model based control and reinforcement learning

C Huang, X Jia, S Seidel, F Paschke… - 2021 26th IEEE …, 2021 - ieeexplore.ieee.org
In this paper the control of building energy systems with multiple energy sources and
storages are analysed. The goal is to efficiently coordinate the energy production and energy …

[PDF][PDF] Energy Optimal Control of a Multivalent Building Energy System using Machine Learning.

C Huang, S Seidel, X Jia, F Paschke, J Bräunig - SMARTGREENS, 2021 - scitepress.org
In this contribution we develop and analyse intelligent control methods in order to optimise
the energy efficiency of a modern residential building with multiple renewable energy sources…

Steady-state analysis of a distributed model of the buck converter

C Huang, F Woittennek… - … European Conference on …, 2013 - ieeexplore.ieee.org
For the well-known buck converter, we replace the inductor and capacitor by a transmission
line. In other words, the lumped reactive elements are substituted by a distributed element. …

Application of limiting antigen avidity enzyme immunoassay for estimating HIV-1 incidence in men who have sex with men

XJ Tang, LJ Duan, WL Liang, S Cheng… - Zhonghua liu Xing …, 2022 - europepmc.org
Objective: To estimate the incidence of HIV-1 infection in men who have sex with men (MSM)
in key areas of China through HIV-1 limiting antigen avidity enzyme immunoassay (LAg-…