Black box modelling of a structure unknown high efficiency boiler applying neural networks with locally distributed dynamics

Author

Ohl, Jochen ; Ayoubi, Mhar ; Kurth, Matthas

Author_Institution

Inst. of Autom. Control, Tech. Univ. of Darmstadt, Germany

fYear

1996

fDate

19-22 Jun 1996

Firstpage

200

Lastpage

204

Abstract

The paper considers the application of neural networks with distributed dynamics to the identification of nonlinear systems. The main intention is to provide a simulation tool for the design of control systems to the development engineer. The identification of the thermal plant is accomplished without any a priori knowledge about the nonlinear structure or the dynamics of the plant. Identification results of two different neural nets are shown and compared

Keywords

boilers; control system analysis computing; identification; neurocontrollers; nonlinear control systems; power engineering computing; thermal power stations; black box modelling; control systems design; development engineer; locally distributed dynamics; neural networks; nonlinear systems identification; simulation tool; thermal plant; unknown high efficiency boiler; Aerodynamics; Autoregressive processes; Boilers; Control systems; Heating; Neural networks; Neurons; Nonlinear dynamical systems; Optimal control; Temperature control;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information Processing Society, 1996. NAFIPS., 1996 Biennial Conference of the North American

Conference_Location

Berkeley, CA

Print_ISBN

0-7803-3225-3

Type

conf

DOI

10.1109/NAFIPS.1996.534731

Filename

534731