Title :
Identification of a high efficiency boiler based on neural networks with locally distributed dynamics
Author :
Ohl, Jochen ; Ayoubi, Mihiar ; Kurth, Matthias
Author_Institution :
Lab. of Control Eng. & Process Autom., Tech. Hochschule Darmstadt, Germany
Abstract :
This paper considers the application of neural network with distributed dynamics to the identification of nonlinear systems. The main intention is to provide a simulation tool 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. The application area is boilers for building energy management systems
Keywords :
boilers; building management systems; digital simulation; engineering computing; identification; neural nets; nonlinear systems; space heating; building energy management systems; development engineer; high-efficiency boiler; identification; locally distributed dynamics; neural networks; nonlinear structure; nonlinear systems; plant dynamics; simulation tool; thermal plant; Aerodynamics; Autoregressive processes; Boilers; Control systems; Heating; Neural networks; Neurons; Nonlinear dynamical systems; Optimal control; Temperature control;
Conference_Titel :
Intelligent Control, 1996., Proceedings of the 1996 IEEE International Symposium on
Conference_Location :
Dearborn, MI
Print_ISBN :
0-7803-2978-3
DOI :
10.1109/ISIC.1996.556239
