class

CrySpace::TransferFunction

Inherits Reference < Object

Constructors

butter(order : Int32, wn : Float64) : TransferFunction

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butter_digital(order : Int32, wn : Float64, dt : Float64) : TransferFunction

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cheby1(order : Int32, rp : Float64, wn : Float64) : TransferFunction

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lag_compensator(gain : Float64, zero : Float64, pole : Float64) : TransferFunction

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lead_compensator(gain : Float64, zero : Float64, pole : Float64) : TransferFunction

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leadlag(zero : Float64, pole : Float64, gain : Float64 = 1.0) : TransferFunction

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makeweight(low : Float64, middle : Float64, high : Float64) : TransferFunction

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new(num : Float64Tensor, den : Float64Tensor, dt : Float64 | Nil = nil)

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notch(w0 : Float64, zeta : Float64) : TransferFunction

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pade(delay : Float64, order : Int32 = 1) : TransferFunction

Computes a Pade approximation of a time delay. Returns a TransferFunction approximation of e^(-delay * s).

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Class methods

reconstruct_poly(roots : Array(Complex)) : Float64Tensor

Reconstructs polynomial coefficients from its roots.

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Instance methods

*(other : TransferFunction)

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+(other : TransferFunction)

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-(other : TransferFunction)

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/(other : TransferFunction)

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bode_data(omega : Float64Tensor)

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bode_plot(filename : String, omega : Float64Tensor | Nil = nil)

Generates a Bode Plot from the transfer function.

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complementary_sensitivity(k : TransferFunction) : TransferFunction

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den

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den=(den : Float64Tensor)

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dt=(dt : Float64 | Nil)

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evaluate(s : Complex) : Complex

Evaluates the transfer function at a complex frequency s (Horner's method).

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feedback(other : TransferFunction, sign = -1)

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freqresp(omega : Float64Tensor) : Tensor(Complex, CPU(Complex))

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jury_test

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lowpass_to_bandpass(center_frequency : Float64, bandwidth : Float64) : TransferFunction

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lowpass_to_highpass(cutoff_frequency : Float64) : TransferFunction

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minreal(tol = 1e-3) : TransferFunction

Minimal realization for transfer function: performs pole-zero cancellation

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nichols_data(omega : Float64Tensor)

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num

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num=(num : Float64Tensor)

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nyquist_data(omega : Float64Tensor)

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poles

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routh_hurwitz

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sensitivity(k : TransferFunction) : TransferFunction

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step_plot(filename : String, n_steps = 200)

Generates a Step Response plot from the transfer function.

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to_continuous

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to_discrete(dt : Float64, method : Symbol = :zoh) : TransferFunction

to_s(io)

to_statespace

zeros