Title :
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
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;
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
DOI :
10.1109/NAFIPS.1996.534731
