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Modeling and identification for the adjustable control of generation processes; Modelado e identificacion para el control autoajustable de procesos de generacion

Abstract

The recursive technique of the method of minimum squares is employed to obtain a multivariable model of the self regressive mobile mean type, needed for the design of a multivariable, self-adjustable controller self adjustable multivariable. In this article the employed technique and the results obtained are described with the characterization of the model structure and the parametric estimation. The convergency velocity curves are observed towards the parameters` numerical values. [Espanol] La tecnica recursiva del metodo de los minimos cuadrados se emplea para obtener un modelo multivariable de tipo autorregresivo de promedio movil, necesario para el diseno de un controlador autoajustable muitivariable. En el articulo, se describe la tecnica empleada y los resultados obtenidos con la caracterizacion de la estructura del modelo y la estimacion parametrica. Se observan las curvas de la velocidad de convergencia hacia los valores numericos de los parametros.
Authors:
Ricano Castillo, Juan Manuel; Palomares Gonzalez, Daniel [1] 
  1. Instituto de Investigaciones Electricas, Cuernavaca (Mexico)
Publication Date:
Dec 31, 1989
Product Type:
Miscellaneous
Report Number:
ETDE-MX-99717751
Reference Number:
SCA: 990200; 200104; PA: MX-98:000235; EDB-99:048159; SN: 98002001446
Resource Relation:
Other Information: DN: Sep-Oct 1989 issue; PBD: 1989; Related Information: Is Part Of IIE Bulletin. Selected articles from 1989 issues of `boletin iie`; PB: [280] p.; IIE Bulletin, v. 13(5)
Subject:
99 MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS; 20 FOSSIL-FUELED POWER PLANTS; THERMAL POWER PLANTS; POWER GENERATION; NUMERICAL SOLUTION; FUNCTIONAL MODELS; MATHEMATICAL MODELS; PILOT PLANTS; NUMERICAL DATA
OSTI ID:
334133
Country of Origin:
Mexico
Language:
Spanish
Other Identifying Numbers:
Journal ID: ISSN 0185-0059; Other: ON: DE99717751; TRN: MX9800235
Availability:
Available from Unidad de Informacion Tecnologica, Instituto de Investigaciones Electricas, Av. Reforma 113, col. Palmira, 62490 Temixco, Mor., Mexico, Tel: (73) 18 38 11 ext. 7138, Fax: (73) 18 24 61; OSTI as DE99717751
Submitting Site:
MX
Size:
pp. 208, 213-216
Announcement Date:
May 10, 1999

Citation Formats

Ricano Castillo, Juan Manuel, and Palomares Gonzalez, Daniel. Modeling and identification for the adjustable control of generation processes; Modelado e identificacion para el control autoajustable de procesos de generacion. Mexico: N. p., 1989. Web.
Ricano Castillo, Juan Manuel, & Palomares Gonzalez, Daniel. Modeling and identification for the adjustable control of generation processes; Modelado e identificacion para el control autoajustable de procesos de generacion. Mexico.
Ricano Castillo, Juan Manuel, and Palomares Gonzalez, Daniel. 1989. "Modeling and identification for the adjustable control of generation processes; Modelado e identificacion para el control autoajustable de procesos de generacion." Mexico.
@misc{etde_334133,
title = {Modeling and identification for the adjustable control of generation processes; Modelado e identificacion para el control autoajustable de procesos de generacion}
author = {Ricano Castillo, Juan Manuel, and Palomares Gonzalez, Daniel}
abstractNote = {The recursive technique of the method of minimum squares is employed to obtain a multivariable model of the self regressive mobile mean type, needed for the design of a multivariable, self-adjustable controller self adjustable multivariable. In this article the employed technique and the results obtained are described with the characterization of the model structure and the parametric estimation. The convergency velocity curves are observed towards the parameters` numerical values. [Espanol] La tecnica recursiva del metodo de los minimos cuadrados se emplea para obtener un modelo multivariable de tipo autorregresivo de promedio movil, necesario para el diseno de un controlador autoajustable muitivariable. En el articulo, se describe la tecnica empleada y los resultados obtenidos con la caracterizacion de la estructura del modelo y la estimacion parametrica. Se observan las curvas de la velocidad de convergencia hacia los valores numericos de los parametros.}
place = {Mexico}
year = {1989}
month = {Dec}
}