Online model learning of buildings using stochastic hybrid systems based on Gaussian processes

DOI10.1155/2017/3035892zbMath1400.93283OpenAlexW2747778614MaRDI QIDQ1794156

Hamzah Abdel-Aziz, Xenofon D. Koutsoukos

Publication date: 15 October 2018

Published in: Journal of Control Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2017/3035892

zbMATH Keywords

stochastic hybrid systemsnonparametric dynamical model for buildingsonline model learning

Mathematics Subject Classification ID

Application models in control theory (93C95) Stochastic systems in control theory (general) (93E03) Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems) (93C30)

Uses Software

• Matlab
• Hybrid Stable Spline Toolbox
• EnergyPlus
• clusfind

Cites Work

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• A new kernel-based approach to hybrid system identification
• Parameter identification for stochastic hybrid systems using randomized optimization: a case study on subtilin production by Bacillus subtilis
• Stochastic reachability analysis of hybrid systems.
• Identification of hybrid systems. A tutorial
• Gaussian processes for time-series modelling
• Finding Groups in Data

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