A microprocessor based drug infusion control system employing a model reference adaptive control algorithm to regulate blood pressure in ICU patients

2003 ◽  
Author(s):  
L. Hernandez ◽  
R. Shankar ◽  
G.A. Pajunen
Keyword(s):  
Blood Pressure ◽  
Adaptive Control ◽  
Control System ◽  
Control Algorithm ◽  
Model Reference Adaptive Control ◽  
Drug Infusion ◽  
Icu Patients ◽  
Model Reference ◽  
Adaptive Control Algorithm ◽  
Model Reference Adaptive

scholarly journals Attenuation of the effects produced by the bending modes of a flexible launch vehicle using second order filters

2020 ◽  
Vol 2 (1) ◽  
pp. 48-55
Author(s):  
Ioana-Carmen Boglis ◽  
Adrian M. Stoica
Keyword(s):  
Adaptive Control ◽  
Dynamic Model ◽  
Control Algorithm ◽  
Launch Vehicle ◽  
Model Reference Adaptive Control ◽  
Model Reference ◽  
Bending Modes ◽  
Adaptive Control Algorithm ◽  
Model Reference Adaptive

This article describes the application of an adaptive control algorithm for the atmospheric phase control of a launch vehicle. A dynamic model representing the pitch motion of the launch vehicle is introduced. As the bending modes can cause instability, the first threebending modes are modelled. A case study on design of the bending filters for a flexible launch vehicle using a model reference adaptive control is conducted to demonstrate its effectiveness.

scholarly journals System identification of a mechanical system with impacts using model reference adaptive control

2005 ◽  
Vol 219 (2) ◽  
pp. 121-132 ◽  
Author(s):  
D W Virden ◽  
D J Wagg
Keyword(s):  
Adaptive Control ◽  
System Identification ◽  
Control Algorithm ◽  
Model Reference Adaptive Control ◽  
Mass System ◽  
Model Reference ◽  
System Parameters ◽  
Adaptive Control Algorithm ◽  
Model Reference Adaptive ◽  
Impact Motion

A single degree of freedom mechanical spring-mass system was considered where the motion of the mass is constrained by an adjustable rigid impact stop. A model reference adaptive control algorithm combined with interspike interval techniques was used to consider the viability of identifying system parameters when impacts are present. The unmodified adaptive control algorithm destabilizes during vibro-impact motion, so three modified control algorithms were tested experimentally. The first, the gain reset, was found to be of limited use and system identification could not be successfully carried out. The second and third used a gain pause strategy. The second algorithm used acceleration triggering and represented an improvement on the gain reset method. The third approach used displacement triggering and was found to be partially successful in identifying system parameters in the presence of vibro-impact motion.

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