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The iterative least squares paramete...

VanDoren, Vance Jay.

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The iterative least squares parameter estimation technique for intermittent systems with applications to intelligent building control.

Record Type:	Electronic resources : Monograph/item
Title/Author:	The iterative least squares parameter estimation technique for intermittent systems with applications to intelligent building control./
Author:	VanDoren, Vance Jay.
Description:	206 p.
Notes:	Source: Dissertation Abstracts International, Volume: 52-01, Section: B, page: 0497.
Contained By:	Dissertation Abstracts International52-01B.
Subject:	Engineering, System Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9116472

The iterative least squares parameter estimation technique for intermittent systems with applications to intelligent building control.
VanDoren, Vance Jay.

The iterative least squares parameter estimation technique for intermittent systems with applications to intelligent building control. - 206 p.

Source: Dissertation Abstracts International, Volume: 52-01, Section: B, page: 0497.

Thesis (Ph.D.)--Purdue University, 1990.

A new on-line parameter estimation technique is proposed for real-time system modelling problems where input/output data is sparse. The algorithm generates the coefficients for an "n"th order ARMAX model that best firs the input/output data in a least-squares sense. The algorithm estimates the system dead time as well. A theoretical analysis is developed to prove the algorithm's remarkable stability and convergence properties. Simulation results are presented to demonstrate the algorithm's ability to produce the desired coefficient estimates if and only if the input/output data is sufficient to define a system model. Experimental results are also presented to demonstrate the algorithm's application to an adaptive HVAC control system for regulating comfort conditions in commercial office space.Subjects--Topical Terms:

1018128
Engineering, System Science.

The iterative least squares parameter estimation technique for intermittent systems with applications to intelligent building control.
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008 130614s1990 eng d
035 $a (UnM)AAI9116472
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040 $a UnM $c UnM
100 1 $a VanDoren, Vance Jay. $3 1952243
245 1 4 $a The iterative least squares parameter estimation technique for intermittent systems with applications to intelligent building control.
300 $a 206 p.
500 $a Source: Dissertation Abstracts International, Volume: 52-01, Section: B, page: 0497.
500 $a Major Professor: Rahmat Shoureshi.
502 $a Thesis (Ph.D.)--Purdue University, 1990.
520 $a A new on-line parameter estimation technique is proposed for real-time system modelling problems where input/output data is sparse. The algorithm generates the coefficients for an "n"th order ARMAX model that best firs the input/output data in a least-squares sense. The algorithm estimates the system dead time as well. A theoretical analysis is developed to prove the algorithm's remarkable stability and convergence properties. Simulation results are presented to demonstrate the algorithm's ability to produce the desired coefficient estimates if and only if the input/output data is sufficient to define a system model. Experimental results are also presented to demonstrate the algorithm's application to an adaptive HVAC control system for regulating comfort conditions in commercial office space.
590 $a School code: 0183.
650 4 $a Engineering, System Science. $3 1018128
650 4 $a Engineering, Mechanical. $3 783786
650 4 $a Artificial Intelligence. $3 769149
690 $a 0790
690 $a 0548
690 $a 0800
710 2 0 $a Purdue University. $3 1017663
773 0 $t Dissertation Abstracts International $g 52-01B.
790 1 0 $a Shoureshi, Rahmat, $e advisor
790 $a 0183
791 $a Ph.D.
792 $a 1990
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9116472