Experiment Design for Closed-loop System Identification with Applications in Model Predictive Control and Occupancy Estimation

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Fältnamn	Indikatorer	Metadata
000		03767nam a2200421 4500
001		oai:DiVA.org:kth-209021
003		SwePub
008		170616s2017 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
020		a 9789177294641q print
024	7	a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-2090212 URI
040		a (SwePub)kth
041		a engb eng
042		9 SwePub
072	7	a vet2 swepub-contenttype
072	7	a dok2 swepub-publicationtype
100	1	a Ebadat, Afrooz,d 1986-u KTH,Reglerteknik,system identification4 aut0 (Swepub:kth)u14z91ul
245	1 0	a Experiment Design for Closed-loop System Identification with Applications in Model Predictive Control and Occupancy Estimation
264	1	a Stockholm :b KTH Royal Institute of Technology,c 2017
300		a 213 s.
338		a electronic2 rdacarrier
490	0	a TRITA-EE,x 1653-5146 ;v 2017:058
500		a QC 20170620
520		a The objective of this thesis is to develop algorithms for application-oriented input design. This procedure takes the model application into account when designing experiments for system identification.This thesis is divided into two parts. The first part considers the theory of application-oriented input design, with special attention to Model Predictive Control (MPC). We start by studying how to find a convex approximation of the set of models that result in acceptable control performance using analytical methods when controllers with no closed-form control law, for e.g., MPC are employed. The application-oriented input design is formulated in time domain to enable handling of signals constraints. The framework is extended to closed-loop systems where two cases are considered i.e., when the plant is controlled by a general but known controller and for the case of MPC. To this end, an external stationary signal is designed via graph theory. Different sources of uncertainty in application-oriented input design are investigated and a robust application-oriented input design framework is proposed.The second part of this thesis is devoted to the problem of estimating the number of occupants based on the information available to HVAC systems in buildings. The occupancy estimation is first formulated as a two-tier problem. In the first tier, the room dynamic is identified using temporary measurements of occupancy. In the second tier, the identified model is employed to formulate the problem as a fused-lasso problem. The proposed method is further developed to be used as a multi-room estimator using a physics-based model. However, since it is not always possible to collect measurements of occupancy, we proceed by proposing a blind identification algorithm which estimates the room dynamic and occupancy, simultaneously. Finally, the application-oriented input design framework is employed to collect data that is informative enough for occupancy estimation purposes.
650	7	a TEKNIK OCH TEKNOLOGIERx Elektroteknik och elektronik0 (SwePub)2022 hsv//swe
650	7	a ENGINEERING AND TECHNOLOGYx Electrical Engineering, Electronic Engineering, Information Engineering0 (SwePub)2022 hsv//eng
653		a Experiment design
653		a System identification
653		a Model Predictive Control
653		a Building automation
653		a Occupancy estimation
653		a Electrical Engineering
653		a Elektro- och systemteknik
700	1	a Wahlberg, Bo,c Professoru KTH,Reglerteknik4 ths
700	1	a Hjalmarsson, Håkan,c Professoru KTH,Reglerteknik4 ths
700	1	a Ydstie, Erik4 opn
710	2	a KTHb Reglerteknik4 org
856	4	u https://kth.diva-portal.org/smash/get/diva2:1110593/FULLTEXT02.pdfx primaryx Raw objecty fulltext
856	4 8	u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209021

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