Steps from state space to transfer function

AI Thread Summary
The discussion centers on the conversion of state space representations to transfer functions, specifically addressing the differences between derivative and linear forms. The formula for the transfer function, Transfer function = C*[SI-A]^-1*B, is confirmed as applicable to both forms. Participants express confusion regarding the necessity of Laplace transforms in these conversions, particularly for continuous time systems. The conversation also touches on the relevance of z-transforms for discrete systems. Ultimately, clarity is sought on whether Laplace transforms are required in the process of deriving transfer functions from both linear and continuous forms.
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Homework Statement
What is the diffetence between steps of solving the question
x'= [matrix values]x +[vector values]u
and solving the question
x(k)=[matrix values]x(k-1) + [vector values]u
Relevant Equations
Transfer function= c*[SI-A]^-1*B
I mean the first question has derivative form and the second is linear form so what the difference here in steps of converting both to transfer function... please need some ellaboration to make sure i am solving correctly or not... is it correct to apply the same rule on both:
Transfer function= c*[SI-A]^-1*B
And when do we need to use laplace ?
 
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Laplace transforms are used (mostly) for continuous time systems.
Have you studied z-transforms yet?
 
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Thx for the reply... actually i am studying it from online resources and what i found for both cases are
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So i cannot tell the difference between steps of both linear and continous... they seem similar to me... and no laplace is used in those steps and that is what is confusing me ... so is there laplace in any step that i missed here? Thanks again 4 ur help
 
For example do these two questions have same steps of getting their transfer functions
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I mean what i did for both is getting
Transfer fun= C*[SI-A]-1*B
Am i correct?
 
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