An improved modelling technique has been developed for the B-spline approximation of the output probability density functions (PDFs). By reformulating the B-spline links between the weights vector and the output PDFs, the new algorithm decomposes the previous scanning identification into two separate operations, therefore reduces the dimension of the least square calculation and improves its efficiency. A PDF control strategy is then adopted to ensure that the output PDF will follow a desired PDF. Simulation studies have been performed for the molecular weight distribution (MWD) control of a styrene polymerization process
This paper presents a new method for the modeling and control of the output probability density func...
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...
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 ...
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...
Periodic learning of B-spline basis functions model for the output probability density function (PDF...
Periodic learning of B-spline basis functions model for the output probability density function (PDF...
The B-spline neural networks are used to model probability density function (PDF) with least square ...
The B-spline neural networks are used to model probability density function (PDF) with least square ...
This paper presents a new method for the modeling and control of the output probability density func...
This paper presents a new method for the modeling and control of the output probability density func...
This paper presents a new method for the modeling and control of the output probability density func...
This paper presents a new method for the modeling and control of the output probability density func...
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...
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 ...
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...
Periodic learning of B-spline basis functions model for the output probability density function (PDF...
Periodic learning of B-spline basis functions model for the output probability density function (PDF...
The B-spline neural networks are used to model probability density function (PDF) with least square ...
The B-spline neural networks are used to model probability density function (PDF) with least square ...
This paper presents a new method for the modeling and control of the output probability density func...
This paper presents a new method for the modeling and control of the output probability density func...
This paper presents a new method for the modeling and control of the output probability density func...
This paper presents a new method for the modeling and control of the output probability density func...
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...