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PEM-Identification of a block-oriented nonlinear stochastic model with application to room temperature modeling

: Paschke, Fabian


Institute of Electrical and Electronics Engineers -IEEE-; Mediterranean Control Association -MCA-:
28th Mediterranean Conference on Control and Automation, MED 2020 : 15-18 September 2020, Saint-Raphaël, France, online conference
Piscataway, NJ: IEEE, 2020
ISBN: 978-1-7281-5742-9
ISBN: 978-1-7281-5743-6
Mediterranean Conference on Control and Automation (MED) <28, 2020, Online>
Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
03ET1567A; ARCHE
Architekturen und Entwurfsmethodik für selbstoptimierende Regelverfahren in verteilten Energiesystemen
Conference Paper
Fraunhofer IIS, Institutsteil Entwurfsautomatisierung (EAS) ()

This contribution proposes a block-oriented nonlinear stochastic model, that can be identified by prediction error minimization (PEM) method. The model consists of a linear time invariant (LTI) stochastic block and a static nonlinear output feedback. Using measured data of a conference and an office room, it is demonstrated that this approach can be used for the identification of models suitable for short term room-temperature prediction.