
zpk - Zero-pole-gain model - MATLAB - MathWorks
Use zpk to create zero-pole-gain models, or to convert dynamic system models to zero-pole-gain form.
zpk - Compute zeros, poles, and gain of rational object - MATLAB
Description [z,p,k,dcgain] = zpk (fit) returns the zeros, poles, gain, and DC gain of a rational object. example
zpk - Convert digital filter to zero-pole-gain representation - MATLAB
Description [z,p,k] = zpk(d) returns the zeros, poles, and gain corresponding to the digital filter, d, in vectors z and p, and scalar k, respectively.
zpkdata - Access zero-pole-gain data - MATLAB - MathWorks
Example 2 Extract the ZPK matrices and their standard deviations for a 2-input, 1 output identified transfer function.
Creating Continuous-Time Models - MATLAB & Simulink Example
This example shows how to create continuous-time linear models using the tf, zpk, ss, and frd commands.
zpk - Zero-pole-gain conversion of discrete-time filter System object ...
Compute the zero-pole-gain form of the highpass filter using the zpk function. Design a minimum order highpass FIR filter with a passband frequency of 75 kHz and passband ripple of 0.2 dB.
zpk - Modelo de cero-polo-ganancia - MATLAB - MathWorks
Use zpk para crear modelos de cero-polo-ganancia o para convertir modelos de sistemas dinámicos al formato de modelo de cero-polo-ganancia.
zpk - Convert unconstrained MPC controller to zero/pole/gain form
Use the Model Predictive Control Toolbox zpk function to convert an unconstrained MPC controller with defined sample time to zero/pole/gain form (see mpc for background).
Using the Right Model Representation - MathWorks
Working with TF and ZPK models often results in high-order polynomials whose evaluation can be plagued by inaccuracies. The TF and ZPK representations are inefficient for manipulating MIMO …
Transfer Functions - MATLAB & Simulink - MathWorks
This example shows how to create single-input, single-output (SISO) transfer functions in factored form using zpk. Create the factored transfer function G (s) = 5 s (s + 1 + i) (s + 1 i) (s + 2):