| Simulink Release Notes | |
Block Library
This section describes enhancements to the Simulink block libraries.
Product Block
The Product block now supports both element-by-element and matrix multiplication and inversion of inputs. The block's parameter dialog includes a new Multiplication parameter that allows you to specify whether the block should multiply or invert inputs element-by-element or matrix-by-matrix.
Gain Block
The Gain block now supports matrix as well as element-wise multiplication of the input signal by a gain factor. Both input signals and gain factors can be matrices. The block's parameter dialog includes a new Multiplication parameter that allows you to choose the following options:
K.*u (element-wise product)
K*u (matrix product with the gain as the left operand)
u*K (matrix product with the gain as the right operand)
Math Function Block
The Math Function block adds two new matrix-specific functions: transpose and Hermitian. The first function outputs the transpose of the input matrix. The second function outputs the complex conjugate transpose (Hermitian) of the input matrix.
Reshape Block
Simulink 4.0 introduces the Reshape block, which changes the dimensionality of its input signals, based on an Output dimensionality parameter that you specify. For example, the block can change an n-element vector to a 1-by-N or N-by-1 matrix signal and vice versa. You can find the Reshape block in the Simulink Signals & Systems library.
Multiplexing Matrix Signals
The Simulink Mux, Demux, and Bus Selector blocks have been enhanced to support multiplexing of matrix signals.
Function Call Iteration Parameter
Simulink 4.0 adds a Number of iterations parameter to the Function Call Generator block. This parameter allows you to specify the number of times the target block is called per time step.
Probing Signal Dimensionality
The Probe block now optionally outputs the dimensionality of the signal connected to its input.
Configurable Subsystem
The Configurable Subsystem block has been reimplemented to make it easier to use. The configurable subsystem block now has a Blocks menu that allows you to choose which block the subsystem represents. To display the menu, select the configurable subsystem and then Blocks from the Simulink editor's Edit or context (right click) menu.
Look-Up Table Blocks
This release provides four new Look-Up Table (LUT) blocks.
The blocks reside in the Simulink Functions and Tables block library.
Polynomial Block
The Polynomial block outputs a polynomial function of its input. The block resides in the Simulink Functions and Tables block library.
Signal Specification
The Signal Specification block allows you to specify the attributes that the input signal must satisfy. If the input signal does not meet the specification, the block generates an error.
ADA S-Functions
Simulink now supports S-functions coded in ADA. See Creating Ada S-Functions in Writing S-Functions for more information.
Bitwise Logical Operator Block
The Bitwise Logical Operator block is a new block that logically masks, inverts, or shifts the bits of an unsigned integer signal. See the online Simulink documentation for details.
Atomic Subsystems
Simulink 4.0 allows you to designate subsystems as atomic as opposed to virtual. An atomic subsystem is a true subsystem. When simulating a model, Simulink executes all blocks contained by an atomic subsystem block before executing the next block of the containing model (or atomic subsystem).
By declaring a subsystem atomic, you guarantee that Simulink completes execution of the subsystem before executing any other blocks at the same level in the model hierarchy. See Atomic Versus Virtual Subsystems in Using Simulink for more information.
| Note Conditionally executed subsystems are inherently atomic. Simulink does not allow you to specify them as atomic or virtual. |
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