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Constant coefficient linear systems describe LTI systems and form the beginnings of the study of state-spacesystems. In general, an -th order system such as this can be described by the followingdifferential equation, where and represent the input and output variables, respectively:
This is a linear differential equation with real-valued constant coefficients and . We can represent this equation with a much more compactnotation by thinking of the differential operator as a variable , where the degree of the derivative corresponds to the power of . We will define and as -th and -th order polynomials in .
If we go ahead and say that and will take the differential operator as arguments, we can rewrite as
Looking at differential equations in terms of polynomials such as and right away reminds us the Laplace transform. Using the Laplace transform can often simplify the calculations involved in system analysis.
By using Laplace domain tools to examine the RLC circuit seen before, the differential equation describing the behavior of this system is easy to deduce.
where
and
This yields
By multiplying both sides by the denominator of the fraction and taking the inverse Laplace transform, the final differential equation describing the system is determined:
The results from this example encourage us to apply Laplace techniques to earlier equations in this section. By taking the Laplace transform of , we find that the transfer function of this system is simply the ratio of the two polynomials and .
By saying above that the Laplace transform of is we are assuming that the system has zero initial conditions. Taking a more general approach, a factor to characterize the initial conditions must be included:
Note: here means the instant immediately preceding time ; it represents the time right before we start paying attention to the system. Also, some readers may be worried that by using in this equation, we are mixing frequency domain and time domain variables here. However, as is simply a constant, there is no time domain component involved.
Let's look at an example to see how these non-zero initial conditions come into play. A first order system is described by the following differential equation:
When we take the Laplace transform of the derivative of , we must remember to include a term that represents the initial values of the system output.
By combining the terms we get
If we say that and , and define as , we can rearrange terms to get an expression relating to that takes the initial conditions into account:
What we have here is the Laplace domain solution to a differential equation describing a dynamical system. There are two terms in this solution: one that relies on the input and one that does not. These parts correspond to the particular and homogeneous solutions, respectively. Taking the inverse Laplace transform, we can write (14) as:
Here, corresponds to and corresponds to . This makes a lot of sense. The particular solution (forced response) depends on a combination of , which describes how the system behaves independently, and , which describes how the system reacts to the input . The homogeneous solution (natural response) depends on a combination of and , the latter of which contains information about the initial conditions of the system.
Let's say that we know the homogeneous solution, , to a differential equation describing a system.
Goal: Using this solution, we want to try and figure out the system's function given zero initial conditions.
Solution:
From above, we know that for a homogeneous solution
We can clear the denominator by moving the to the left-hand side. And since we have zero initial conditions, goes to 0:
The solution can quickly be determined by inspection because we know that the derivative of is . Therefore a solution of would work. However, a more systematic approach will be necessary for more difficult situations. We will investigate this approach here.
Again, we will do our work in the Laplace domain. By equating the Laplace transform of our homogeneous solution with the ratio of and as discussed above, we have:
Directly, we can see the solution for : by simply setting the denominators equal to each other, . This, of course, is the Laplace transform of the solution of that we found by inspection above.
Now that we have the basics down, we'll look at a more complicated example. We are given
Goal: We would like to find the differential equation whose homogeneous solution is .
Solution:
Again, we take the Laplace transform of , and then combine the two resultant fractions into one ratio of polynomials:
Next, we equate the denominators of the last two fractions to find :
Recalling the start of this module, multiplying by and taking the inverse Laplace transform will yield the differential equation whose homogeneous solution is :
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