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Aug 6th, 2022
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COVID forever altered how businesses view their internal protocols and processes. It influenced enterprises of all sizes and industries, posing new obstacles for staying connected. The pandemic indicated that all businesses should incorporate digital instruments into every day routines. They became important for far more than hybrid working models.

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How to Controllable Form Application

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this video provides some hand-worked examples for students to go through its been shown that there are two simple controllability tests for states based models and the tests are the same whether you have a continuous state space model or a discrete state space model and here weve emphasized that were going to have n States so the controllability matrix must be full rank and the controllability matrix is defined as M C equals B comma a B all the way up to a to the N minus 1 B alternatively you can check the matrix VB must have no zero rows where V is that left eigenvector so W lambda V is the eigen value eigen vector decomposition of the matrix a in practice an eigen value eigen vector decomposition is non-trivial and not a paper and pen exercise you would have to do that by computer and so these examples were going to focus on the use of the controllability matrix which is given here now even though this is a bit more straightforward it is reiterated that in the vast majority of c

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Controllable canonical form is a minimal realization in which all model states are controllable. Like companion form and observable canonical form, it can be ill-conditioned for computation.
OCF with Arbitrary Zeros. Recall at the end of last lecture we noticed that a system model in Controllable Canonical Form for a transfer function with arbitrary zero is always completely controllable. This is because the zero does not enter the controllability matrix.
There are 3 steps for conversion of minimal form to canonical form. Find the Total Number of variable present in minimal form. Find the variables absent in each minterm. Try to apply operation for converting min to canonical term using one(1) or zero(o) logic.
A system is controllable if it can move from any state to any other state in finite time.
Notice that observable canonical form can be obtained from the controllable canonical form simply by transposing the A matrix and by transposing and swapping the b and c vectors.
A system is said to be observable if, for every possible evolution of state and control vectors, the current state can be estimated using only the information from outputs (physically, this generally corresponds to information obtained by sensors).
y = [a0 a1 a2 an1]x . This form is called the controllable canonical form (for reasons that we will see later). Note how the coefficients of the transfer function show up in the matrix: each of the denominator coefficients shows up negated and in reverse order in the bottom row of A.
Notice that observable canonical form can be obtained from the controllable canonical form simply by transposing the A matrix and by transposing and swapping the b and c vectors.
Controllable canonical form is a minimal realization in which all model states are controllable. Like companion form and observable canonical form, it can be ill-conditioned for computation.
y = [a0 a1 a2 an1]x . This form is called the controllable canonical form (for reasons that we will see later). Note how the coefficients of the transfer function show up in the matrix: each of the denominator coefficients shows up negated and in reverse order in the bottom row of A.

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