ParameterizedInterpolation
Performs interpolation of values based on an input signal using externally defined parameters.
Implements a flexible interpolation function that maps the input value to an output value based on predefined interpolation parameters. The exact interpolation algorithm and parameters are defined externally to this component. This is commonly used for lookup tables, curve fitting, and approximating complex nonlinear relationships between variables.
Usage
ParameterizedInterpolation()
Connectors
u
- 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
@example
using BlockComponents #hide
using ModelingToolkit #hide
@named sys = ParameterizedInterpolation() #hide
full_equations(sys) #hide
Source
dyad
# Performs interpolation of values based on an input signal using externally defined parameters.
#
# Implements a flexible interpolation function that maps the input value to an output value based
# on predefined interpolation parameters. The exact interpolation algorithm and parameters are
# defined externally to this component. This is commonly used for lookup tables, curve fitting,
# and approximating complex nonlinear relationships between variables.
external component ParameterizedInterpolation
# Input value to be interpolated
u = RealInput() [{
"Dyad": {
"placement": {"icon": {"iconName": "input", "x1": -50, "y1": 450, "x2": 50, "y2": 550}}
}
}]
# Interpolated output value
y = RealOutput() [{
"Dyad": {
"placement": {"icon": {"iconName": "output", "x1": 950, "y1": 450, "x2": 1050, "y2": 550}}
}
}]
end
Flattened Source
dyad
# Performs interpolation of values based on an input signal using externally defined parameters.
#
# Implements a flexible interpolation function that maps the input value to an output value based
# on predefined interpolation parameters. The exact interpolation algorithm and parameters are
# defined externally to this component. This is commonly used for lookup tables, curve fitting,
# and approximating complex nonlinear relationships between variables.
external component ParameterizedInterpolation
# Input value to be interpolated
u = RealInput() [{
"Dyad": {
"placement": {"icon": {"iconName": "input", "x1": -50, "y1": 450, "x2": 50, "y2": 550}}
}
}]
# Interpolated output value
y = RealOutput() [{
"Dyad": {
"placement": {"icon": {"iconName": "output", "x1": 950, "y1": 450, "x2": 1050, "y2": 550}}
}
}]
metadata {}
end
Test Cases
No test cases defined.
Related
Examples
Experiments
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