Hai Phan Thanh - Academia.edu (original) (raw)
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Papers by Hai Phan Thanh
Ultrasound in Medicine and Biology, 2009
The present study aims at bringing out the best features reactor. Nonlinear Control law is derive... more The present study aims at bringing out the best features reactor. Nonlinear Control law is derived for the model-based of model-based control, when applied to highly non-linear systems PI controller and expressed in terms of easily measurable like pH-controlled fed-batch processes. For these processes, physical quantities. Then, simulation results are presented to control of pH by conventional PID controller fails to provide show the superior performance of the model-based controller satisfactory performance, because of the extreme non-linearity in over that of the conventional PID controller the pH dynamics. In the present study, for a fed-batch neutralisation process, a non-linear control law has been derived for the model-based PI controller. Typical problems in process II. MODEL DEVELOPMENT control like sampling, delay and perturbations in model parameters are addressed in this study using model-based control.
Ultrasound in Medicine and Biology, 2009
The present study aims at bringing out the best features reactor. Nonlinear Control law is derive... more The present study aims at bringing out the best features reactor. Nonlinear Control law is derived for the model-based of model-based control, when applied to highly non-linear systems PI controller and expressed in terms of easily measurable like pH-controlled fed-batch processes. For these processes, physical quantities. Then, simulation results are presented to control of pH by conventional PID controller fails to provide show the superior performance of the model-based controller satisfactory performance, because of the extreme non-linearity in over that of the conventional PID controller the pH dynamics. In the present study, for a fed-batch neutralisation process, a non-linear control law has been derived for the model-based PI controller. Typical problems in process II. MODEL DEVELOPMENT control like sampling, delay and perturbations in model parameters are addressed in this study using model-based control.