Add to ORKG Novel computational intelligence-based methods have been investigated to quantify uncertainties prevalent in the operation of chemical plants. A new family of predication interval-based controlling algorithms is proposed and successfully applied to chemical reactors in order to minimise energy consumption and operational cost
A nonlinear model-predictive control strategy is developed to maintain the superior-to-steady-state ...
The goal of this paper is to propose suitable control methods for controlling of the highly nonlinea...
IFAC WORLD CONGRESS (16) (16.2005.PRAGA, REPÚBLICA CHECA)This paper describes the control of a batch...
I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, includ...
This paper presents the application of an identification algorithm based on local model networks abl...
This work provides the theoretical formulation, implementation directives and validation case for th...
The petroleum, chemical, and electrochemical industries operate a wide variety of multivariable proc...
[[abstract]]©2003 Elsevier - Chemical processes are nonlinear. Model based control schemes such as m...
The increasingly competitive and continuously changing world economy has made it necessary to exploi...
This thesis investigates the effectiveness of model predictions in two important fields of process o...
Prediction interval (PI) has been extensively used to predict the forecasts for nonlinear systems as...
Predictive process control is a method of regulation suitable for controlling various types of syste...
Predictive process control is a method of regulation suitable for controlling various types of syste...
Prediction interval (PI) is a promising tool for quantifying uncertainties associated with point pre...
This thesis discusses the empirical modeling using system identification technique and the implement...
A nonlinear model-predictive control strategy is developed to maintain the superior-to-steady-state ...
The goal of this paper is to propose suitable control methods for controlling of the highly nonlinea...
IFAC WORLD CONGRESS (16) (16.2005.PRAGA, REPÚBLICA CHECA)This paper describes the control of a batch...
I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, includ...
This paper presents the application of an identification algorithm based on local model networks abl...
This work provides the theoretical formulation, implementation directives and validation case for th...
The petroleum, chemical, and electrochemical industries operate a wide variety of multivariable proc...
[[abstract]]©2003 Elsevier - Chemical processes are nonlinear. Model based control schemes such as m...
The increasingly competitive and continuously changing world economy has made it necessary to exploi...
This thesis investigates the effectiveness of model predictions in two important fields of process o...
Prediction interval (PI) has been extensively used to predict the forecasts for nonlinear systems as...
Predictive process control is a method of regulation suitable for controlling various types of syste...
Predictive process control is a method of regulation suitable for controlling various types of syste...
Prediction interval (PI) is a promising tool for quantifying uncertainties associated with point pre...
This thesis discusses the empirical modeling using system identification technique and the implement...
A nonlinear model-predictive control strategy is developed to maintain the superior-to-steady-state ...
The goal of this paper is to propose suitable control methods for controlling of the highly nonlinea...
IFAC WORLD CONGRESS (16) (16.2005.PRAGA, REPÚBLICA CHECA)This paper describes the control of a batch...