Add to ORKGBoiler combustion systems represent highly nonlinear systems with associated lags and delays which depend on operating point. Such systems represent a significant challenge to the control engineer. In this paper, we present a model typical of a medium-size industrial boiler, which highlights the difficulties associated with such systems. As a starting point for nonlinear control design, we demonstrate how a neural network may be used to obtain a concise functional description of the system, initially for fixed operating points and then for variation over the full range of operation
This paper deals with modeling a power plant component with mild nonlinear characteristics using a m...
This paper considers the use of neural networks for nonlinear state estimation, system identificatio...
In this paper the potentials of neural network based control techniques are explored by applying a n...
Boiler combustion systems represent highly nonlinear systems with associated lags and delays which ...
As the energy cost is rising steadily and the environmental pollution is becoming an important issue...
Classical approaches to modelling of nonlinear process systems such as the Volterra series method an...
In order to operate plants fueled with biomass in an optimum manner, it is important to create therm...
D.Ing.The thesis describes the development, installation, and testing of a neural network-based stea...
Neural network schemes are applied in this thesis to a temperature control system problem. The elect...
Abstract--The integration of Soft Computing techniques in traditional real-time systems is a promisi...
In a thermal power plant with once-through boilers, it is important to control the temperature at th...
Abstruct- This paper presents the development of a control oriented boiler model carried out on the ...
M.Ing. (Mechanical Engineering)This dissertation describes the performance of an Adaptive controller...
Neural Networks can be powerful tools for the approximation of complex nonlinear behaviour. After a ...
There is increasing need for tighter controls of coal-fired plants due to more stringent regulations...
This paper deals with modeling a power plant component with mild nonlinear characteristics using a m...
This paper considers the use of neural networks for nonlinear state estimation, system identificatio...
In this paper the potentials of neural network based control techniques are explored by applying a n...
Boiler combustion systems represent highly nonlinear systems with associated lags and delays which ...
As the energy cost is rising steadily and the environmental pollution is becoming an important issue...
Classical approaches to modelling of nonlinear process systems such as the Volterra series method an...
In order to operate plants fueled with biomass in an optimum manner, it is important to create therm...
D.Ing.The thesis describes the development, installation, and testing of a neural network-based stea...
Neural network schemes are applied in this thesis to a temperature control system problem. The elect...
Abstract--The integration of Soft Computing techniques in traditional real-time systems is a promisi...
In a thermal power plant with once-through boilers, it is important to control the temperature at th...
Abstruct- This paper presents the development of a control oriented boiler model carried out on the ...
M.Ing. (Mechanical Engineering)This dissertation describes the performance of an Adaptive controller...
Neural Networks can be powerful tools for the approximation of complex nonlinear behaviour. After a ...
There is increasing need for tighter controls of coal-fired plants due to more stringent regulations...
This paper deals with modeling a power plant component with mild nonlinear characteristics using a m...
This paper considers the use of neural networks for nonlinear state estimation, system identificatio...
In this paper the potentials of neural network based control techniques are explored by applying a n...