Generated reference › Bias — Control Systems/Base Blocks
kind: generated#block#control-systems-base-blocks

Bias — Control Systems/Base Blocks

Control_Systems/Base_Blocks/Bias · 1 input / 1 output port(s) at insert · exports to Python, MATLAB, Java, Rust, C, C++, VHDL, Verilog, SystemVerilog, PLC Structured Text

Description#

The block's own DESCRIPTION_HTML, rendered verbatim — the same text the config dialog's info panel and the library navigator show. Fix a wrong sentence in the block's .cpp (R-D9), never here.

Bias

Control Systems / Base Blocks

Adds a constant offset to its input: y = u + b, applied entry by entry. The offset is a block parameter, not a signal, so the block shifts a signal without needing a source wired into a Sum.

Ports

  • Input – the signal u, of any size [m,n].
  • Output – the shifted signal y. It takes the input's size [m,n] whenever the bias is a scalar or the same size as the input; a scalar input against a matrix bias expands the other way round and the output takes the bias's size, which is the only case in which this block changes a signal's dimensions.

Parameters

  • Bias – the offset b. A scalar is added to every entry (Simulink's scalar expansion); a matrix must be the size of the input signal, or meet a scalar input, and is then added entry for entry. Defaults to 0, which passes the signal through unchanged.
  • Sampling Time (s) – zero or less inherits the solver's rate; a positive value runs the block at that period.

Code export

All ten targets: Python, MATLAB, Java, Rust, C, C++, VHDL, Verilog, SystemVerilog and PLC Structured Text.

The bias is exposed as a tunable parameter on the generated core – params in the software targets, a parameter port on the three HDL cores, a VAR_INPUT on the function block in Structured Text – so it can be retuned on the deployed core without re-exporting. It is not inlined into the arithmetic.

The three HDL targets carry the addition in Q16.16 fixed point and are fully synthesizable: adding two fixed-point values of the same format needs no shift, no divider and no function call. Note that the bias crosses into the core as a Q16.16 parameter, so an offset finer than one quantum (1.5×10-5) is not representable there.

Simulink bridge

Import and export, mapped to simulink/Math Operations/Bias, with "Bias" going to the Bias parameter as a pass-through value.

The rate does NOT cross: Simulink's Bias block defines no SampleTime parameter at all, so the entry sets hasSampleTimeParam = false and "Sampling Time (s)" stays on the ICore side. Writing the parameter anyway would be a hard set_param error in MATLAB rather than a warning, aborting the whole generated script. Simulink's SaturateOnIntegerOverflow has no counterpart either: it governs integer and fixed-point data types, and ICore signals are doubles.

Notes

  • Algebraic, with no state: the output depends only on the current input.
  • Affine, not linear, so the block deliberately carries no state space. y = u + b does not pass through the origin, and A/B/C/D has nowhere to hold the constant – model reduction reports the block as unmergeable rather than absorbing an offset it cannot represent. A Bias of exactly zero is not treated as a special case: it would be a state space that stopped existing the moment the user typed a number.
  • To add two signals rather than a signal and a constant, use Sum.

Code facts#

FactValue
registered typeControl_Systems/Base_Blocks/Bias
familyControl_Systems/Base_Blocks
solver environment classICoreBlock_0_Control_Systems_1_Base_Blocks_2_Bias
sourcesrc/ICoreSDK/ICoreBlockLibrary/Blocks/Control_Systems/Base_Blocks/Bias/ICoreBlock_0_Control_Systems_1_Base_Blocks_2_Bias.cpp
headersrc/ICoreSDK/ICoreBlockLibrary/Blocks/Control_Systems/Base_Blocks/Bias/ICoreBlock_0_Control_Systems_1_Base_Blocks_2_Bias.h
default size on canvas70 × 70 px
ports at insert1 in, 1 out
code generators implementedPython, MATLAB, Java, Rust, C, C++, VHDL, Verilog, SystemVerilog, PLC Structured Text

Ports#

#DirectionSignal typeDescription label
1inICoreDouble
2outICoreDouble

Ports the constructor creates. A block whose port list changes with its configuration adds or removes ports at load time; the count above is the one a freshly inserted block has.

Configuration variables#

Config variableDefaultSimulink parameter
Bias0Bias

Every block also carries Sampling Time (s) from ICoreBlockSolverEnvironment: zero or less inherits the solver's rate, a positive value runs the block at that period.

supportSupport::Both
Simulink pathsimulink/Math Operations/Bias
port-count rulePortsParam::None
SampleTime parameterno — the counterpart defines none; the rate stays on the ICore side
ICore configSimulink parameterValue translation
BiasBiaspasses through

Caveat (shown to the user): the rate does not cross: Simulink's Bias block defines no SampleTime parameter, so "Sampling Time (s)" stays on the ICore side

Catalog contract: src/ICoreSDK/ICoreCoder/ICoreCommandSystem/SimulinkBridge/ICoreSimulinkBlockCatalog.h

Description vs code#

The lists agree. check_block_descriptions.py finds no disagreement between the description's Ports, Parameters, Code export and Simulink bridge lists and the code's.

The verdict above is tools/docs/check_block_descriptions.py (P7.1), which compares LISTS. It cannot read a sentence: "stateless" on a block with a state, an initial-value semantic the recursion does not implement, a "not synthesizable" caveat the HDL banner contradicts. That is the agent audit (P7.3) on BLOCK_DESCRIPTION_AUDIT.md, and this tool's green is not a substitute for one.

File banner (developer view)#

The top comment of the block's .cpp — the maths, the realization and the export strategy, addressed to whoever changes it. It must not contradict the description above (P7.5).

Bias block -- add a constant offset y = u + b, entry by entry, with Simulink's scalar expansion in both directions: a scalar bias broadcasts over any signal, and a scalar signal broadcasts over a matrix bias. Any other pairing must agree entry for entry. Algebraic and stateless, no state space (see the header -- the block is AFFINE, not linear, and that is a different reason from Abs's).

The bias is a TUNABLE parameter on every generated core rather than a constant inlined into the arithmetic: an offset is exactly the kind of value a user retunes on deployed hardware (a sensor zero, a set-point trim) without wanting to re-export, which is the same call Gain makes for its gain matrix and the opposite of the one Sum makes for its signs.

Sample results#

Bias — Repeating Sequence Stair: [-2 -1 -0.5 0 0.5 1 2 3], one entry per sampleBias — Repeating Sequence Stair: [-2 -1 -0.5 0 0.5 1 2 3], one entry per sample-202-2-10123inputoutput
tin ICoreDouble-Out-0out ICoreDouble-Out-0
0-2-2
0.40.50.5
0.8-2-2
1.20.50.5
1.6-2-2
20.50.5
2.4-2-2
2.80.50.5
3.2-2-2
3.60.50.5
4-2-2
4.40.50.5
4.8-2-2
5.20.50.5

Every 4th of 60 samples, from the table stimulus.

The same rig also ran:

StimulusWhat it isOutput range
impulseImpulse: one sample of 1 at k = 5, 0 elsewhere (Repeating Sequence Stair)0 … 1
rampRamp: slope 1 from t = 00 … 5.8
sineSine Wave: amplitude 1, 2 rad/s, no phase, no bias-1 … 0.9996
stepStep: 0 -> 1 at t = 1 s0 … 1

Plotted: table — Repeating Sequence Stair: [-2 -1 -0.5 0 0.5 1 2 3], one entry per sample

Category static · sample time 0.1 · 60 steps · commit ccf005c8 · produced by docsSample --out <folder> --steps 60 · data docs/generated/samples/Control_Systems__Base_Blocks__Bias.json · the SVG is generated from those numbers by tools/docs/plot_svg.py, so it is a run and not a drawing (R-D10).