Control strategy development guide for vaccine drug product

2022 ◽  
pp. 279-295
Author(s):  
Deep Bhattacharya ◽  
Parag Kolhe
Keyword(s):  
Control Strategy ◽  
Drug Product ◽  
Strategy Development

Integrated Application of Quality-by-Design Principles to Drug Product and Its Control Strategy Development

2019 ◽  
pp. 665-702
Author(s):  
Sherif I.F. Badawy ◽  
Ajit S. Narang ◽  
Keirnan R. LaMarche ◽  
Ganeshkumar A. Subramanian ◽  
Sailesh A. Varia ◽  
...  
Keyword(s):  
Control Strategy ◽  
Quality By Design ◽  
Drug Product ◽  
Design Principles ◽  
Strategy Development

Detention Storage Control Strategy Development

1976 ◽  
Vol 102 (1) ◽  
pp. 117-135
Author(s):  
Harry G. Wenzel ◽  
Neil S. Grigg ◽  
John W. Labadie
Keyword(s):  
Control Strategy ◽  
Strategy Development

Adding realism to simulated sensors and actuators

2008 ◽  
Vol 57 (3) ◽  
pp. 337-344 ◽  
Author(s):  
C. Rosen ◽  
L. Rieger ◽  
U. Jeppsson ◽  
P. A. Vanrolleghem
Keyword(s):  
Wastewater Treatment ◽  
Markov Chains ◽  
Control Strategy ◽  
Strategy Development ◽  
Actuator Faults ◽  
Paper Briefly ◽  
Sensors And Actuators ◽  
Dynamic Simulations ◽  
Actuator Dynamics ◽  
Significant Obstacle

In this paper, we propose a statistical theoretical framework for incorporation of sensor and actuator faults in dynamic simulations of wastewater treatment operation. Sensor and actuator faults and failures are often neglected in simulations for control strategy development and testing, although it is well known that they represent a significant obstacle for realising control at full-scale facilities. The framework for incorporating faults and failures is based on Markov chains and displays the appealing property of easy transition of sensor and actuator history into a model for fault generation. The paper briefly describes Markov theory and how this is used together with models for sensor and actuator dynamics to achieve a realistic simulation of measurements and actuators.

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