Analogue computer model of the human cardiovascular control system

1969 ◽  
Vol 7 (4) ◽  
pp. 401-410 ◽  
Author(s):  
W. D. Pickering ◽  
P. N. Nikiforuk ◽  
J. E. Merriman
Keyword(s):  
Control System ◽  
Computer Model ◽  
Cardiovascular Control ◽  
Analogue Computer

scholarly journals Computer Model of Cardiovascular Control System Responses to Exercise

1973 ◽  
Vol 6 (4) ◽  
pp. 363-368
Author(s):  
R.C. Croston ◽  
J.A. Rummel ◽  
F.J. Kay
Keyword(s):  
Control System ◽  
Computer Model ◽  
Cardiovascular Control

An Analogue Computer Study of the Human Cardiovascular Control System

1968 ◽  
Vol 2 (4) ◽  
pp. 647-652
Author(s):  
W.D. Pickering ◽  
P.N. Nikiforuk ◽  
J.E. Merriman
Keyword(s):  
Control System ◽  
Cardiovascular Control ◽  
Analogue Computer ◽  
Computer Study

Interpreting Open- and Closed-Loop Transfer Relations Between Cardiorespiratory Parameters: Lessons Learned from a Computer Model of Beat-to-Beat Cardiovascular Regulation

1997 ◽  
Vol 36 (04/05) ◽  
pp. 237-240
Author(s):  
P. Hammer ◽  
D. Litvack ◽  
J. P. Saul
Keyword(s):  
Computer Model ◽  
Closed Loop ◽  
Computer Models ◽  
Cardiovascular Regulation ◽  
Cardiovascular Control ◽  
Lessons Learned ◽  
Multiple Systems ◽  
Response Characteristics ◽  
Similarities And Differences

Abstract:A computer model of cardiovascular control has been developed based on the response characteristics of cardiovascular control components derived from experiments in animals and humans. Results from the model were compared to those obtained experimentally in humans, and the similarities and differences were used to identify both the strengths and inadequacies of the concepts used to form the model. Findings were confirmatory of some concepts but contrary to some which are firmly held in the literature, indicating that understanding the complexity of cardiovascular control probably requires a combination of experiments and computer models which integrate multiple systems and allow for determination of sufficiency and necessity.

THE WAYS TO IMPROVE THE SUBSIDIARY ELECTRIC DRIVE OF HIGH-SPEED ELECTRIC STOCK

2018 ◽  
pp. 121-131
Author(s):  
Elena Makarova ◽  
Stanislav Telichenko ◽  
Ildar Shakirov ◽  
Alexander Trifanov ◽  
Alexander Ivanov ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Automatic Control ◽  
Automatic Control System ◽  
Computer Model ◽  
Electric Drive ◽  
High Speed ◽  
Practical Importance ◽  
Automatic Control Systems ◽  
Research Findings

Objective: To improve the subsidiary electric drive of high-speed electric stock by applying asynchronous drive frequency regulator. Methods: Fuzzy logic concepts were applied for an automatic control system regulator. Results: A computer model of the regulator was developed and the results of modeling were presented in the form of optimization process of load moment stepped variation by the control system with standard and fuzzy logic controllers. Practical importance: On the basis of the introduced computer model, transient analysis is possible in automatic control system of the subsidiary electric drive of the high-speed electric stock. The research findings may be used in the design of new and retrofit of the existing automatic control systems of the subsidiary electric drive with improved characteristics of control performance.

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