A Bound for the Disturbance — to — Tracking — Error Gain of a Supervised Set-Point Control System

1998 ◽  
pp. 23-41 ◽  
Author(s):  
A. S. Morse
2016 ◽  
Vol 21 (2) ◽  
pp. 153-165 ◽  
Author(s):  
Donatas Levišauskas ◽  
Rimvydas Simutis ◽  
Vytautas Galvanauskas

A control system for set-point control of microbial cultivation process parameters is developed, in which a tendency model is applied for controller adaptation to process nonlinearity and time-varying operating conditions. The tendency model is updated on-line and introduced into control algorithm for prediction of steady-state control action and returning of feedback controller. The control system was tested for controlling dissolved oxygen concentration in batch operating mode bioreactor under extreme operating conditions. In simulation experiments, the control system demonstrates fast adaptation, robust behaviour and significant improvement in control performance compared to that of fixed gain controller.


1983 ◽  
Author(s):  
Graham Coombes ◽  
James V. Wiseman

2020 ◽  
Vol 31 (23) ◽  
pp. 2583-2596
Author(s):  
John M. Boyle ◽  
Kelsey M. Hennick ◽  
Samuel G. Regalado ◽  
Jacob M. Vogan ◽  
Xiaozhu Zhang ◽  
...  

To better understand telomere length set point control in human stem cells, we generated knockout stem cell lines for TPP1 and contrasted their phenotypes with those of homozygous TPP1 L104A mutant stem cells. This comparison reveals that TPP1 L104A is not a hypomorphic allele but formally establishes TPP1 L104 as a dissociation of function mutant.


2015 ◽  
Vol 2015 (0) ◽  
pp. _1P1-X02_1-_1P1-X02_4
Author(s):  
Daisuke NAKAGAWA ◽  
Yuki MATSUTANI ◽  
Hitoshi KINO ◽  
Kenji TAHARA

Sign in / Sign up

Export Citation Format

Share Document