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Mason's gain formula
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Mason's gain formula : ウィキペディア英語版
Mason's gain formula
Mason's gain formula (MGF) is a method for finding the transfer function of a linear signal-flow graph (SFG). The formula was derived by Samuel Jefferson Mason, whom it is also named after. MGF is an alternate method to finding the transfer function algebraically by labeling each signal, writing down the equation for how that signal depends on other signals, and then solving the multiple equations for the output signal in terms of the input signal. MGF provides a step by step method to obtain the transfer function from a SFG. Often, MGF can be determined by inspection of the SFG. The method can easily handle SFGs with many variables and loops including loops with inner loops. MGF comes up often in the context of control systems and digital filters because control systems and digital filters are often represented by SFGs.
== Formula ==
The gain formula is as follows:
: G = \frac} = \frac }

: \Delta = 1 - \sum L_i + \sum L_iL_j- \sum L_iL_jL_k + \cdots + (-1)^m \sum \cdots +\cdots
where:
*Δ = the determinant of the graph.
*''y''in = input-node variable
*''y''out = output-node variable
*''G'' = complete gain between ''y''in and ''y''out
*''N'' = total number of forward paths between ''y''in and ''y''out
*''G''''k'' = path gain of the ''k''th forward path between ''y''in and ''y''out
*''L''''i'' = loop gain of each closed loop in the system
*''L''''i''''L''''j'' = product of the loop gains of any two non-touching loops (no common nodes)
*''L''''i''''L''''j''''L''''k'' = product of the loop gains of any three pairwise nontouching loops
''k'' = the cofactor value of Δ for the ''k''th forward path, with the loops touching the ''k''th forward path removed.
*

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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