ReverseCausality Icon

`ReverseCausality`

Compute an output implicitly such that the two input signals are equal

This component extends from BlockComponents.SI2SO

Usage

ReverseCausality()

Connectors

u1 - This connector represents a real signal as an input to a component (RealInput)
u2 - This connector represents a real signal as an input to a component (RealInput)
y - This connector represents a real signal as an output from a component (RealOutput)

Behavior

\[ \begin{align} \mathtt{u1}\left( t \right) &= \mathtt{u2}\left( t \right) \end{align} \]

Source

# Compute an output implicitly such that the two input signals are equal
component ReverseCausality
  extends BlockComponents.SI2SO
relations
  u1 = u2
end

Flattened Source

# Compute an output implicitly such that the two input signals are equal
component ReverseCausality
  u1 = RealInput() [{
    "JuliaSim": {"placement": {"icon": {"x1": -50, "y1": 150, "x2": 50, "y2": 250}}}
  }]
  u2 = RealInput() [{
    "JuliaSim": {"placement": {"icon": {"x1": -50, "y1": 750, "x2": 50, "y2": 850}}}
  }]
  y = RealOutput() [{
    "JuliaSim": {"placement": {"icon": {"x1": 950, "y1": 450, "x2": 1050, "y2": 550}}}
  }]
relations
  u1 = u2
metadata {}
end

Test Cases

Examples
Experiments
Analyses

ReverseCausality