The B-spline neural networks are used to model probability density function (PDF) with least square algorithm, the controllers are designed accordingly. Both the modeling and control methods are tested with molecular weight distribution (MWD) through simulation
Department of Chemical Engineering, Engineering Faculty, Ankara University, 06500, Ankara, Turkey E...
Controlling batch polymerization reactors imposes great operational difficulties due to the complex ...
Describes the modelling and control of molecular weight distribution in polymerization processes
The B-spline neural networks are used to model probability density function (PDF) with least square ...
Issues of modelling and control of molecular weight distributions (MWDs) of polymerization products ...
Issues of modelling and control of molecular weight distributions (MWDs) of polymerization products ...
Iterative learning of B-spline basis functions model for the output probability density function (PD...
A mathematical model is developed for the molecular weight distribution (MWD) of free-radical styren...
An improved modelling technique has been developed for the B-spline approximation of the output prob...
An improved modelling technique has been developed for the B-spline approximation of the output prob...
A detailed dynamic model has been developed for the molecular weight distribution (MWD) of styrene b...
The performance of two advanced model based non-linear controllers is analyzed for the optimal setpo...
The aims of this work are to develop an efficient modeling method for establishing dynamic output pr...
The aims of this work are to develop an efficient modeling method for establishing dynamic output pr...
Indústrias de polimerização, em geral, utilizam diferentes sistemas reacionais para obter polímeros ...
Department of Chemical Engineering, Engineering Faculty, Ankara University, 06500, Ankara, Turkey E...
Controlling batch polymerization reactors imposes great operational difficulties due to the complex ...
Describes the modelling and control of molecular weight distribution in polymerization processes
The B-spline neural networks are used to model probability density function (PDF) with least square ...
Issues of modelling and control of molecular weight distributions (MWDs) of polymerization products ...
Issues of modelling and control of molecular weight distributions (MWDs) of polymerization products ...
Iterative learning of B-spline basis functions model for the output probability density function (PD...
A mathematical model is developed for the molecular weight distribution (MWD) of free-radical styren...
An improved modelling technique has been developed for the B-spline approximation of the output prob...
An improved modelling technique has been developed for the B-spline approximation of the output prob...
A detailed dynamic model has been developed for the molecular weight distribution (MWD) of styrene b...
The performance of two advanced model based non-linear controllers is analyzed for the optimal setpo...
The aims of this work are to develop an efficient modeling method for establishing dynamic output pr...
The aims of this work are to develop an efficient modeling method for establishing dynamic output pr...
Indústrias de polimerização, em geral, utilizam diferentes sistemas reacionais para obter polímeros ...
Department of Chemical Engineering, Engineering Faculty, Ankara University, 06500, Ankara, Turkey E...
Controlling batch polymerization reactors imposes great operational difficulties due to the complex ...
Describes the modelling and control of molecular weight distribution in polymerization processes
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