Control Theory State-Space method with derivative input

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Chacabucogod
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Hi,

I'm reading Ogata's Modern Control Engineering, and when he talks about the representation of a differential equation in state space he divides the method in two. The first one is when the input of the differential equation involves no derivative term, for example:

x'(t)+x(t)=u(t)

The next step is doing it with a differential equation that has inputs that have derivatives. For example:

x'(t)+x(t)=u(t)+u'(t)

He then mention that the state varibles will be

x1=y-β0u
x2=y'-β1u-β0u' and so on...

I've tried finding a reason for this and the nearest I've come is the following PDF, which has errors:

http://www.ece.rutgers.edu/~gajic/psfiles/canonicalforms.pdf

Anybody got an idea how that can be derived?
 
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note: this is not mine...
http://lpsa.swarthmore.edu/Representations/SysRepTransformations/TF2SS.html

Consider the third order differential transfer function:

img7D.gif


We start by multiplying by Z(s)/Z(s) and then solving for Y(s) and U(s) in terms of Z(s). We also convert back to a differential equation.

img58.gif


We can now choose z and its first two derivatives as our state variables

img5C.gif


Now we just need to form the output

img89.gif


Unfortunately, the third derivative of z is not a state variable or an input, so this is not a valid output equation. However, we can represent the term as a sum of state variables and outputs:

img8A.gif


and

img8C1.gif


From these results we can easily form the state space model:

img8E.gif


In this case, the order of the numerator of the transfer function was less than that of the denominator. If they are equal, the process is somewhat more complex.
 
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