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Diagnosis and FTC by Prof. Blanke [pdf] - NTNU

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45<br />

46<br />

Digraph for linear system<br />

Example 5. 2<br />

d<br />

c1: x1 = x1<br />

dt<br />

c2 : x1 = ax2<br />

d<br />

c3 : x2 = x2<br />

dt<br />

c : x = bx + cx + du<br />

4 2 1 2<br />

Bipartite graph<br />

Graph represented as<br />

incidence matrix:<br />

u x1 x2 x1 x2<br />

c1<br />

0 1 0 1 0<br />

c2<br />

0 0 1 1 0<br />

c3<br />

0 0 1 0 1<br />

c 1 1 1 0 1<br />

4<br />

Graph represented as the<br />

incidence matrix:<br />

u x1 x2 x1 x2<br />

c1<br />

0 1 0 1 0<br />

c2<br />

0 0 1 1 0<br />

c3<br />

0 0 1 0 1<br />

c 1 1 1 0 1<br />

4<br />

Or drawn as a bipartite graph:<br />

N N N<br />

Mogens <strong>Blanke</strong> – Spring 2006<br />

N K<br />

? ? ? ! ? "<br />

"A simple graph is one with no parallel edges <strong>and</strong> loops.<br />

A bipartite graph is a simple graph in which the set of<br />

vertices can be partitioned into two sets such that every<br />

edge is between a vertex in C <strong>and</strong> a vertex in Z: G= ( C, Z, E)<br />

."<br />

Mogens <strong>Blanke</strong> – Spring 2006<br />

23

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