package scipy

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type tag = [
  1. | `ZerosPolesGain
]
type t = [ `Object | `ZerosPolesGain ] Obj.t
val of_pyobject : Py.Object.t -> t
val to_pyobject : [> tag ] Obj.t -> Py.Object.t
val create : ?kwargs:(string * Py.Object.t) list -> Py.Object.t list -> t

Linear Time Invariant system class in zeros, poles, gain form.

Represents the system as the continuous- or discrete-time transfer function :math:`H(s)=k \prod_i (s - zi) / \prod_j (s - pj)`, where :math:`k` is the `gain`, :math:`z` are the `zeros` and :math:`p` are the `poles`. `ZerosPolesGain` systems inherit additional functionality from the `lti`, respectively the `dlti` classes, depending on which system representation is used.

Parameters ---------- *system : arguments The `ZerosPolesGain` class can be instantiated with 1 or 3 arguments. The following gives the number of input arguments and their interpretation:

* 1: `lti` or `dlti` system: (`StateSpace`, `TransferFunction` or `ZerosPolesGain`) * 3: array_like: (zeros, poles, gain) dt: float, optional Sampling time s of the discrete-time systems. Defaults to `None` (continuous-time). Must be specified as a keyword argument, for example, ``dt=0.1``.

See Also -------- TransferFunction, StateSpace, lti, dlti zpk2ss, zpk2tf, zpk2sos

Notes ----- Changing the value of properties that are not part of the `ZerosPolesGain` system representation (such as the `A`, `B`, `C`, `D` state-space matrices) is very inefficient and may lead to numerical inaccuracies. It is better to convert to the specific system representation first. For example, call ``sys = sys.to_ss()`` before accessing/changing the A, B, C, D system matrices.

Examples -------- >>> from scipy import signal

Transfer function: H(s) = 5(s - 1)(s - 2) / (s - 3)(s - 4)

>>> signal.ZerosPolesGain(1, 2, 3, 4, 5) ZerosPolesGainContinuous( array(1, 2), array(3, 4), 5, dt: None )

Transfer function: H(z) = 5(z - 1)(z - 2) / (z - 3)(z - 4)

>>> signal.ZerosPolesGain(1, 2, 3, 4, 5, dt=0.1) ZerosPolesGainDiscrete( array(1, 2), array(3, 4), 5, dt: 0.1 )

val to_ss : [> tag ] Obj.t -> Py.Object.t

Convert system representation to `StateSpace`.

Returns ------- sys : instance of `StateSpace` State space model of the current system

val to_tf : [> tag ] Obj.t -> Py.Object.t

Convert system representation to `TransferFunction`.

Returns ------- sys : instance of `TransferFunction` Transfer function of the current system

val to_zpk : [> tag ] Obj.t -> Py.Object.t

Return a copy of the current 'ZerosPolesGain' system.

Returns ------- sys : instance of `ZerosPolesGain` The current system (copy)

val to_string : t -> string

Print the object to a human-readable representation.

val show : t -> string

Print the object to a human-readable representation.

val pp : Format.formatter -> t -> unit

Pretty-print the object to a formatter.

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