Algebraic Constraint
Input signal limitation.
blockType: AlgebraicConstraint
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Path in the library: |
Description
The block Algebraic Constraint limits (reduces) the input signal to the value or 0 and outputs the algebraic state . The block calculates and outputs the value at which its input signal becomes equal to 0 or , depending on the selected value for the Constraint parameter. The block must be located in an unbroken algebraic loop, i.e. other blocks in it must have direct signal transmission. For example, you can specify algebraic equations for differential-algebraic systems (DAS) with index 1.
Ports
Input
#
f(z)
—
The input signal
scalar | vector
Details
The signal that is being limited or to solve an algebraic loop.
| Data types |
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| Complex numbers support |
Yes |
Output
#
z
—
output state
scalar | vector
Details
Solving an algebraic loop when the input signal is is subject to restriction or .
| Data types |
|
| Complex numbers support |
Yes |
Parameters
Parameters
#
Constraint —
limitation on the input signal
f(z) = 0 | f(z) = z
Details
The type of constraint that needs to be solved. You can find a solution for f(z) = 0 or f(z) = z.
| Values |
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| Default value |
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| Program usage name |
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| Tunable |
No |
| Evaluatable |
No |
# Initial guess — the initial assumption about the value of the solution
Details
An initial approximation for an algebraic state , close to the expected value of the solution. This value is used to increase the efficiency of the algebraic loop solver.
| Default value |
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| Program usage name |
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| Tunable |
No |
| Evaluatable |
Yes |
#
Tolerance —
solver tolerance
Float64 real number
Details
Specify a lower value to increase accuracy or a higher value to speed up execution.
Block Algebraic Constraint supports the confidence domain method [1], [2] for solving algebraic loops.
| Default value |
|
| Program usage name |
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| Tunable |
No |
| Evaluatable |
Yes |