An adaptive high-gain observer-based method for state estimation and lumped parameter estimation in copolymerization reactors is presented in this paper. One of the main features of this observer is that it uses an uncertain mathematical model of the process, whose uncertainty belongs to the multiplicative type. The performance of the proposed observer was firstly evaluated by means of numerical simulations and also by using experimental data obtained from a copolymerization reaction between styrene and butyl acrylate, performed in a prototype experimental reactor. Both the results obtained in the numerical simulations and in the experiments; show that the proposed observer may be used as a observer-based monitoring system
This paper deals with estimability analysis, parameter identification and experimental validation of...
This paper concerns nun-linear state estimation in a batch polymerization reactor where suspension p...
Neste trabalho estudou-se a viabilidade e sensibilidade do monitoramento em linha, utilizando a espe...
An adaptive high-gain observer-based method for state estimation and lumped parameter estimation in ...
A nonlinear reduced-order state observer is applied to estimate the degree of polymerization in a se...
International audienceAdaptive and high gain nonlinear observers are used for state and parameter es...
State estimation has become an important area of research in the field of process engineering. This ...
In this paper we have developed an estimability analysis method to identify the subset of potentiall...
Semi-continuous emulsion copolymerization (SCEP) is one of the major processes for the production of...
A high order Geometric Observer (GO) and a hybrid discrete-time extended Kalman filter (h-DEKF) are ...
We develop an observer-based control structure for a standard nonlinear model of polymerization reac...
Polymerization processes are highly non-linear systems that require strict control of their dynamic ...
In this paper, an industrial emulsion polymerization process, which is characterized by exothermic r...
In this work, a geometric observer (GO) is formulated and tested using experimental data from the Au...
Effective monitoring and tight control of chemical, petrochemical and biochemical processes are ofte...
This paper deals with estimability analysis, parameter identification and experimental validation of...
This paper concerns nun-linear state estimation in a batch polymerization reactor where suspension p...
Neste trabalho estudou-se a viabilidade e sensibilidade do monitoramento em linha, utilizando a espe...
An adaptive high-gain observer-based method for state estimation and lumped parameter estimation in ...
A nonlinear reduced-order state observer is applied to estimate the degree of polymerization in a se...
International audienceAdaptive and high gain nonlinear observers are used for state and parameter es...
State estimation has become an important area of research in the field of process engineering. This ...
In this paper we have developed an estimability analysis method to identify the subset of potentiall...
Semi-continuous emulsion copolymerization (SCEP) is one of the major processes for the production of...
A high order Geometric Observer (GO) and a hybrid discrete-time extended Kalman filter (h-DEKF) are ...
We develop an observer-based control structure for a standard nonlinear model of polymerization reac...
Polymerization processes are highly non-linear systems that require strict control of their dynamic ...
In this paper, an industrial emulsion polymerization process, which is characterized by exothermic r...
In this work, a geometric observer (GO) is formulated and tested using experimental data from the Au...
Effective monitoring and tight control of chemical, petrochemical and biochemical processes are ofte...
This paper deals with estimability analysis, parameter identification and experimental validation of...
This paper concerns nun-linear state estimation in a batch polymerization reactor where suspension p...
Neste trabalho estudou-se a viabilidade e sensibilidade do monitoramento em linha, utilizando a espe...