MinMax
Output minimum or maximum input value
- Library:
Simulink / Math Operations
HDL Coder / Math Operations
Description
The MinMax block outputs either the minimum or the maximum element or elements of the inputs. You choose whether the block outputs the minimum or maximum values by setting theFunctionparameter.
The MinMax block ignores any input value that isNaN
, except when every input value isNaN
. When all input values areNaN
, the output isNaN
, either as a scalar or the value of each output vector element.
Ports
Input
Port_1
— Input signal
scalar | vector | matrix
Provide an input signal from which the block outputs the maximum or minimum values.
When the block has one input port, the input must be a scalar or a vector. The block outputs a scalar equal to the minimum or maximum element of the input vector.
When the block has multiple input ports, all nonscalar inputs must have the same dimensions. The block expands any scalar inputs to have the same dimensions as the nonscalar inputs. The block outputs a signal having the same dimensions as the input. Each output element equals the minimum or maximum of the corresponding input elements.
Dependencies
To support matrix input, you must set theNumber of input portsparameter to an integer greater than one. All nonscalar inputs must have the same dimensions.
Data Types:half
|single
|double
|int8
|int16
|int32
|int64
|uint8
|uint16
|uint32
|uint64
|Boolean
|fixed point
Port_N
— N-th input signal
scalar | vector | matrix
Provide an input signal from which the block outputs the maximum or minimum values.
When the block has multiple input ports, all nonscalar inputs must have the same dimensions. The block expands any scalar inputs to have the same dimensions as the nonscalar inputs. The block outputs a signal having the same dimensions as the input. Each output element equals the minimum or maximum of the corresponding input elements.
Dependencies
To provide more than one input signal, set theNumber of input portsto an integer greater than 1.
Data Types:half
|single
|double
|int8
|int16
|int32
|int64
|uint8
|uint16
|uint32
|uint64
|Boolean
|fixed point
Output
Port_1
— Minimum or maximum values of inputs
scalar | vector | matrix
When the block has one input, the output is a scalar value, equal to the minimum or maximum of the input elements. When the block has multiple inputs, the output is a signal having the same dimensions as the input. Each output element equals the minimum or maximum of the corresponding input elements.
Data Types:half
|single
|double
|int8
|int16
|int32
|int64
|uint8
|uint16
|uint32
|uint64
|Boolean
|fixed point
Parameters
Main
Function
— Specify minimum or maximum
min
(default) |max
Specify whether to apply the functionmin
ormax
to the input.
Programmatic Use
Block Parameter:Function |
Type:character vector |
Values:'min' | 'max' |
Default:'min' |
Number of input ports
— Specify number of input ports
1
(default) |positive integer
Specify the number of inputs to the block.
Programmatic Use
Block Parameter:Inputs |
Type:character vector |
Values:positive integer |
Default:'1' |
Enable zero-crossing detection
— Enable zero-crossing detection
on
(default) | Boolean
Select to enable zero-crossing detection. For more information, seeZero-Crossing Detection.
Programmatic Use
Block Parameter:ZeroCross |
Type: character vector, string |
Values:'off' |'on' |
Default:'on' |
Sample time
— Sample time value other than-1
-1
(default) | scalar | vector
Specify the sample time as a value other than-1
. For more information, seeSpecify Sample Time.
Dependencies
This parameter is not visible unless it is explicitly set to a value other than-1
. To learn more, seeBlocks for Which Sample Time Is Not Recommended.
Programmatic Use
Block Parameter:SampleTime |
Type:string scalar or character vector |
Default:"-1" |
Signal Attributes
Require all inputs to have the same data type
— Inputs must have the same data type
off
(default) |on
Select this check box to require that all inputs have the same data type.
Programmatic Use
Block Parameter:InputSameDT |
Type:character vector |
Values:'off' | 'on' |
Default:'off' |
Output minimum
——最小输出值范围检查
[]
(default) | scalar
Lower value of the output range that Simulink®checks.
Simulink uses the minimum to perform:
Parameter range checking (seeSpecify Minimum and Maximum Values for Block Parameters) for some blocks.
Simulation range checking (seeSpecify Signal RangesandEnable Simulation Range Checking).
Automatic scaling of fixed-point data types.
Optimization of the code that you generate from the model. This optimization can remove algorithmic code and affect the results of some simulation modes such as SIL or external mode. For more information, seeOptimize using the specified minimum and maximum values(Embedded Coder).
Note
Output minimumdoes not saturate or clip the actual output signal. Use theSaturationblock instead.
Programmatic Use
Block Parameter:OutMin |
Type: character vector |
Values:'[ ]' | scalar |
Default:'[ ]' |
Output maximum
— Maximum output value for range checking
[]
(default) | scalar
Upper value of the output range that Simulink checks.
Simulink uses the maximum value to perform:
Parameter range checking (seeSpecify Minimum and Maximum Values for Block Parameters) for some blocks.
Simulation range checking (seeSpecify Signal RangesandEnable Simulation Range Checking).
Automatic scaling of fixed-point data types.
Optimization of the code that you generate from the model. This optimization can remove algorithmic code and affect the results of some simulation modes such as SIL or external mode. For more information, seeOptimize using the specified minimum and maximum values(Embedded Coder).
Note
Output maximumdoes not saturate or clip the actual output signal. Use theSaturationblock instead.
Programmatic Use
Block Parameter:OutMax |
Type: character vector |
Values:'[ ]' | scalar |
Default:'[ ]' |
Output data type
— Specify the output data type
继承:Inherit via internal rule
(default) |继承:Inherit via back propagation
|继承:Same as first input
|double
|single
|half
|int8
|uint8
|int16
|uint16
|int32
|uint32
|int64
|uint64
|fixdt(1,16,0)
|fixdt(1,16,2^0,0)
|
Choose the data type for the output. The type can be inherited, specified directly, or expressed as a data type object such asSimulink.NumericType
.
Click theShow data type assistantbuttonto display theData Type Assistant, which helps you set the data type attributes. For more information, seeSpecify Data Types Using Data Type Assistant.
Dependencies
When input is a floating-point data type smaller than single precision, the继承:Inherit via internal rule
output data type depends on the setting of theInherit floating-point output type smaller than single precisionconfiguration parameter. Data types are smaller than single precision when the number of bits needed to encode the data type is less than the 32 bits needed to encode the single-precision data type. For example,half
andint16
are smaller than single precision.
Programmatic Use
Block Parameter:OutDataTypeStr |
Type: character vector |
Values:'Inherit: Inherit via internal rule' |'Inherit: Inherit via back propagation' |'Inherit: Same as first input' |'single' |'half' |'int8' |'uint8' |'int16' |'uint16' |'int32' |'uint32' |'int64' |'uint64' |'fixdt(1,16,0)' |'fixdt(1,16,2^0,0)' |'' |
Default:'Inherit: Inherit via internal rule' |
Lock output data type setting against changes by the fixed-point tools
— Prevent fixed-point tools from overriding Output data type
off
(default) |on
Select this parameter to prevent the fixed-point tools from overriding theOutputdata type you specify on the block. For more information, seeUse Lock Output Data Type Setting(Fixed-Point Designer).
Programmatic Use
Block Parameter:LockScale |
Type:character vector |
Values:'off' | 'on' |
Default:'off' |
Integer rounding mode
— Rounding mode for fixed-point operations
Floor
(default) |Ceiling
|Convergent
|Nearest
|Round
|Simplest
|Zero
Specify the rounding mode for fixed-point operations. For more information, seeRounding(Fixed-Point Designer).
Block parameters always round to the nearest representable value. To control the rounding of a block parameter, enter an expression using a MATLAB®rounding function into the mask field.
Programmatic Use
Block Parameter:RndMeth |
Type:character vector |
Values:'Ceiling' | 'Convergent' | 'Floor' | 'Nearest' | 'Round' | 'Simplest' | 'Zero' |
Default:'Floor' |
Saturate on integer overflow
— Method of overflow action
off
(default) |on
Specify whether overflows saturate or wrap.
Action | Rationale | Impact on Overflows | Example |
---|---|---|---|
Select this check box ( |
Your model has possible overflow, and you want explicit saturation protection in the generated code. |
Overflows saturate to either the minimum or maximum value that the data type can represent. |
The maximum value that the |
Do not select this check box ( |
You want to optimize efficiency of your generated code. You want to avoid overspecifying how a block handles out-of-range signals. For more information, seeTroubleshoot Signal Range Errors. |
Overflows wrap to the appropriate value that is representable by the data type. |
The maximum value that the |
When you select this check box, saturation applies to every internal operation on the block, not just the output, or result. Usually, the code generation process can detect when overflow is not possible. In this case, the code generator does not produce saturation code.
Programmatic Use
Block Parameter:SaturateOnIntegerOverflow |
Type:character vector |
Values:'off' | 'on' |
Default:'off' |
Model Examples
Block Characteristics
Data Types |
|
Direct Feedthrough |
|
Multidimensional Signals |
|
Variable-Size Signals |
|
Zero-Crossing Detection |
|
Extended Capabilities
C/C++ Code Generation
Generate C and C++ code using Simulink® Coder™.
HDL Code Generation
Generate Verilog and VHDL code for FPGA and ASIC designs using HDL Coder™.
HDL Coder™ provides additional configuration options that affect HDL implementation and synthesized logic.
This block has multi-cycle implementations that introduce additional latency in the generated code. To see the added latency, view the generated model or validation model. SeeGenerated Model and Validation Model(HDL Coder).
Architecture | Additional cycles of latency | Description |
---|---|---|
default Tree |
0 | Generates a tree structure of comparators. |
Cascade |
1, when block has a single vector input port. | This implementation is optimized for latency * area, with medium speed. SeeCascade Architecture Best Practices(HDL Coder). |
General | |
---|---|
ConstrainedOutputPipeline | Number of registers to place at the outputs by moving existing delays within your design. Distributed pipelining does not redistribute these registers. The default is |
InputPipeline | Number of input pipeline stages to insert in the generated code. Distributed pipelining and constrained output pipelining can move these registers. The default is |
OutputPipeline | 的输出管道阶段插入generated code. Distributed pipelining and constrained output pipelining can move these registers. The default is |
InstantiateStages | Generate a VHDL® |
SerialPartition | Specify partitions for Cascade-serial implementations as a vector of the lengths of each partition. The default setting uses the minimum number of stages. See alsoSerialPartition(HDL Coder). |
Note
To enable theLatencyStrategysetting for theMinMaxblock, you must specifyTree
as theHDL Architecture.
Native Floating Point | |
---|---|
LatencyStrategy | Specify whether to map the blocks in your design to |
PLC Code Generation
Generate Structured Text code using Simulink® PLC Coder™.
Fixed-Point Conversion
Design and simulate fixed-point systems using Fixed-Point Designer™.
Version History
See Also
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