Question: [ Controllability indices ] Consider the controllability matrix C = [ B AB A 2 B An 1 B ] for a linear system model,
Controllability indices
Consider the controllability matrix C B AB AB AnB for a linear system model,
where A is nn and B is nm for positive integers m n Let b bm denote the columns
of B Let C be obtained by reordering the columns of C as follows such reordering does not
change the column span:
C
b Ab Ab Anb b Ab Amb b Anbm
A basis for the column span of C or equivalently, the range space of C can be found by the
following algorithm. Consider the columns of C one by one from left to right, and add any
column to the basis that is not in the span of the columns before it
a Show that whenever a column of the form Ajbi is not included in the basis then any
column of the form Aj
bi with j j will not be included. Hint: Start by considering
the columns with i
b Let i denote the number of columns of the form Ajbi that were added to the basis by
the algorithm. The numbers m are called the controllability indices of AB
Under what condition on the controllability indices is AB controllable? Controllability
indices are related to the socalled Luenberger controllable canonical forms that
generalize the CCF weve seen for SISO systems and which can be found by elementary
row and column operations operating on the A and B matrices.
c According to the theory of Luenberger controllable canonical forms, any state space
model with n m and controllability indices can be put into the
following form by a state space transformation for some values of the constants indicated:
A
a b c d
e f g h
B
x
For what values of the constants are the controllablity indices for the above AB given
by This shows that not all values of the constants work.
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