Higher-order differentiation of network functions using signal flow graphs

2011 ◽  
Vol 40 (9) ◽  
pp. 975-983
Author(s):  
Stanislaw Osowski
Keyword(s):  
Higher Order ◽  
Signal Flow ◽  
Signal Flow Graphs ◽  
Network Functions ◽  
Flow Graphs

Signal-Flow Graphs and Random Signals

1957 ◽  
Vol 45 (1) ◽  
pp. 74-86 ◽  
Author(s):  
William Huggins
Keyword(s):  
Signal Flow ◽  
Signal Flow Graphs ◽  
Random Signals ◽  
Flow Graphs

Signal Flow Graphs for Spatial Gear Trains

1994 ◽  
Vol 116 (1) ◽  
pp. 326-331 ◽  
Author(s):  
R. Ma ◽  
K. C. Gupta
Keyword(s):  
Operations Research ◽  
Equations Of Motion ◽  
Planetary Gear ◽  
Gear Train ◽  
Signal Flow ◽  
Signal Flow Graphs ◽  
Planetary Gear Trains ◽  
Gear Trains ◽  
System Variables ◽  
Flow Graphs

Signal flow graphs (SFG) have been applied in many areas such as circuit analysis, controls, mechanical vibrations, statistics, and operations research. They have also been applied to the analysis of planetary gear trains which are planar, i.e., where all of the gear axes are parallel. In this paper, signal flow graphs are applied to spatial planetary gear trains. Some additional terminology and rules which are needed for this important application are developed in this paper and illustrated by examples. The significance of applying SFG to a gear system is that the graph describes the interrelationship among the system variables by linking causes and effects, offers the information about the topology of system connection, and the kinematic equations of motion can be written easily by inspection. In this way, it helps use to visualize and understand spatial gear train systems better.

Algorithm for sampled data signal flow graphs

1981 ◽  
Vol 17 (10) ◽  
pp. 341
Author(s):  
M. Dias ◽  
F.J. Evans
Keyword(s):  
Sampled Data ◽  
Signal Flow ◽  
Signal Flow Graphs ◽  
Data Signal ◽  
Flow Graphs
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