Hierarchical structure of a system of adaptive multicriterion control of a three-phase arc steel furnace electrical modes is proposed. Models of optimal control vector synthesis were developed. Adaptation of control is performed depending on technological stages, which are identified by neural network.W artykule zaproponowano hierarchiczną strukturę układu adaptacyjnego do wielokryterialnego sterowania stanami pracy trójfazowego pieca łukowego do topienia stali. Opracowano modele syntezy optymalnego wektora sterowania. Adaptacja sterowania dokonuje się w zależnośći od stadiów technologicznych topienia stali, które są identyfikowane za pomocą sieci neuronowej
The work covers the neuronic networks (synergetical model, its abilities to structural identificatio...
Due to rising costs and the call for innovations control technology in semiconductor equipment gains...
The paper describes the design of predictive control algorithm for rotary furnace control. At the be...
A hierarchical structure of intelligent system for regimes control in arc steelmaking furnace is sug...
The elaborated system of regulating the arcs lengths of an arc furnace with NARMA-L2 Controller, NN ...
In order to optimize the quality of transition processes on a heating object of control, it is propo...
AbstractThe article deals with the problem of optimization complex processes of mining and processin...
Goal. The purpose of the article is the creation of a three-phase instantaneous coordinates Simulink...
In this paper, a unified level 2 Advanced Process Control system for steel billets reheating furnace...
An advanced control strategy, based on the principles of Self-Adjusting Model Algorithmic Control (...
The synthesis of a real-time model of the electric mode of an arc steelmaking furnace is shown. This...
Vibration of electrodes in operation strongly affects the efficiency of the electric arc furnace (EA...
The paper describes the selected methods of adaptive control of the pulverized coal combustion proce...
The objective of this research was to use state-of-the-art artificial neural network approach to est...
W pracy opisano najistotniejsze wady współczesnych uproszczonych modeli łuku dynamicznego prądu stał...
The work covers the neuronic networks (synergetical model, its abilities to structural identificatio...
Due to rising costs and the call for innovations control technology in semiconductor equipment gains...
The paper describes the design of predictive control algorithm for rotary furnace control. At the be...
A hierarchical structure of intelligent system for regimes control in arc steelmaking furnace is sug...
The elaborated system of regulating the arcs lengths of an arc furnace with NARMA-L2 Controller, NN ...
In order to optimize the quality of transition processes on a heating object of control, it is propo...
AbstractThe article deals with the problem of optimization complex processes of mining and processin...
Goal. The purpose of the article is the creation of a three-phase instantaneous coordinates Simulink...
In this paper, a unified level 2 Advanced Process Control system for steel billets reheating furnace...
An advanced control strategy, based on the principles of Self-Adjusting Model Algorithmic Control (...
The synthesis of a real-time model of the electric mode of an arc steelmaking furnace is shown. This...
Vibration of electrodes in operation strongly affects the efficiency of the electric arc furnace (EA...
The paper describes the selected methods of adaptive control of the pulverized coal combustion proce...
The objective of this research was to use state-of-the-art artificial neural network approach to est...
W pracy opisano najistotniejsze wady współczesnych uproszczonych modeli łuku dynamicznego prądu stał...
The work covers the neuronic networks (synergetical model, its abilities to structural identificatio...
Due to rising costs and the call for innovations control technology in semiconductor equipment gains...
The paper describes the design of predictive control algorithm for rotary furnace control. At the be...