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This example shows how to examine the pole
and zero locations of dynamic systems both graphically using `pzplot` and
numerically using `pole` and `zero`.

Examining the pole and zero locations can be useful for tasks such as stability analysis or identifying near-canceling pole-zero pairs for model simplification. This example compares two closed-loop systems that have the same plant and different controllers.

Create dynamic system models representing the two closed-loop systems.

G = zpk([],[-5 -5 -10],100); C1 = pid(2.9,7.1); CL1 = feedback(G*C1,1); C2 = pid(29,7.1); CL2 = feedback(G*C2,1);

The controller `C2` has a much higher proportional
gain. Otherwise, the two closed-loop systems `CL1` and `CL2` are
the same.

Graphically examine the pole and zero locations of `CL1` and `CL2`.

pzplot(CL1,CL2) grid

`pzplot` plots pole and zero locations on the
complex plane as `x` and `o` marks,
respectively. When you provide multiple models, `pzplot` plots
the poles and zeros of each model in a different color. Here, there
poles and zeros of `CL1` are blue, and those of `CL2` are
green.

The plot shows that all poles of `CL1` are
in the left half-plane, and therefore `CL1` is stable.
From the radial grid markings on the plot, you can read that the damping
of the oscillating (complex) poles is approximately 0.45. The plot
also shows that `CL2` contains poles in the right
half-plane and is therefore unstable.

Compute numerical values of the pole and zero locations
of `CL2`.

z = zero(CL2); p = pole(CL2);

`zero` and `pole` return column
vectors containing the zero and pole locations of the system.

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