Application of multiobjective neural predictive control to biventricular assistance using dual rotary blood pumps

2018 ◽  
Vol 39 ◽  
pp. 81-93 ◽  
Author(s):  
Boon Chiang Ng ◽  
Robert F. Salamonsen ◽  
Shaun D. Gregory ◽  
Michael C. Stevens ◽  
Yi Wu ◽  
...  
Keyword(s):  
Predictive Control ◽  
Blood Pumps ◽  
Neural Predictive Control ◽  
Rotary Blood Pumps

Two implantable rotary blood pumps for biventricular heart failure

2013 ◽  
Vol 61 (S 01) ◽  
Author(s):  
T Krabatsch ◽  
E Hennig ◽  
E Potapov ◽  
A Stepanenko ◽  
T Drews ◽  
...  
Keyword(s):  
Heart Failure ◽  
Blood Pumps ◽  
Rotary Blood Pumps

A low hemolysis rate is not a sufficient criterion for the qualification of rotary blood pumps

2008 ◽  
Vol 56 (S 1) ◽  
Author(s):  
J Müller ◽  
M Brodde ◽  
P Nüsser ◽  
J Müller ◽  
K Graichen ◽  
...  
Keyword(s):  
Sufficient Criterion ◽  
Blood Pumps ◽  
Rotary Blood Pumps ◽  
Hemolysis Rate

CONDITION MONITORING OF ROTARY BLOOD PUMPS

ASAIO Journal ◽  
1997 ◽  
Vol 43 (2) ◽  
pp. 58 ◽  
Author(s):  
Vinay Jammu ◽  
Stanley Malanoski ◽  
Thomas Walter ◽  
William Smith
Keyword(s):  
Condition Monitoring ◽  
Blood Pumps ◽  
Rotary Blood Pumps

Rotary blood pumps in circulatory assist

Perfusion ◽  
1995 ◽  
Vol 10 (3) ◽  
pp. 153-158 ◽  
Author(s):  
H. Reul ◽  
P. Harbott ◽  
Th Siess ◽  
G. Rau
Keyword(s):  
Blood Pumps ◽  
Rotary Blood Pumps

MODELING OF NEURAL PREDICTIVE CONTROL OF IRRIGATION MACHINES

2021 ◽  
pp. 14-22
Author(s):  
G. N. KAMYSHOVA ◽  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Real Time ◽  
Predictive Control ◽  
Intelligent Control ◽  
Machine Learning Algorithms ◽  
Intelligent Control Systems ◽  
Artificial Neural ◽  
The One ◽  
Neural Predictive Control

The purpose of the study is to develop new scientific approaches to improve the efficiency of irrigation machines. Modern digital technologies allow the collection of data, their analysis and operational management of equipment and technological processes, often in real time. All this allows, on the one hand, applying new approaches to modeling technical systems and processes (the so-called “data-driven models”), on the other hand, it requires the development of fundamentally new models, which will be based on the methods of artificial intelligence (artificial neural networks, fuzzy logic, machine learning algorithms and etc.).The analysis of the tracks and the actual speeds of the irrigation machines in real time showed their significant deviations in the range from the specified speed, which leads to a deterioration in the irrigation parameters. We have developed an irrigation machine’s control model based on predictive control approaches and the theory of artificial neural networks. Application of the model makes it possible to implement control algorithms with predicting the response of the irrigation machine to the control signal. A diagram of an algorithm for constructing predictive control, a structure of a neuroregulator and tools for its synthesis using modern software are proposed. The versatility of the model makes it possible to use it both to improve the efficiency of management of existing irrigation machines and to develop new ones with integrated intelligent control systems.

scholarly journals Slip and turbulence phenomena in journal bearings with application to implantable rotary blood pumps

2016 ◽  
Vol 104 ◽  
pp. 157-165 ◽  
Author(s):  
Gordon Paul ◽  
Amin Rezaienia ◽  
Xiang Shen ◽  
Eldad Avital ◽  
Theodosios Korakianitis
Keyword(s):  
Journal Bearings ◽  
Blood Pumps ◽  
Rotary Blood Pumps
Sign in / Sign up

Export Citation Format

Share Document