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# Model Conversion from Discrete-Time to Continuous-Time Linear Models

## 11.1 Transfer Function of Discrete-Time Processes

In Part One, the Laplace transform was used to derive the transfer function of a continuous-time process. For a discrete-time process, the z-tranform is used. Consider the following discrete-time process: The z-transform of y(kΔt) is defined as One of the notable properties of the z-transform is y(z)z−1 = Z{y(k − 1)Δt)} if y(kΔt) = 0, k < 0. The property is derived straightforwardly by comparing (11.2) with (11.3): From (11.2) and (11.3), it is clear that y(z)z−1 = Z{y(k − 1)Δt)} if y(kΔt) = 0, k < 0. Equivalently, y(z)z−d = Z{y(kdt)} if y(kΔt) = 0, k < 0. Then, (11.4) is obtained by applying the z-transform to (11.1): Rearranging (11.4), the following transfer function for the discrete-time process is obtained: or ## With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

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