R2022b - Updates to the MATLAB and Simulink product families - MATLAB & Simulink

R2022b at a Glance

 

Discover What's New

Get more out of MATLAB and Simulink by downloading the latest release

Video Player is loading.
Current Time 0:00
Duration 1:25
Loaded: 11.48%
Stream Type LIVE
Remaining Time 1:25
 
1x
  • Chapters
  • descriptions off, selected
  • en (Main), selected
    Video length is 1:25

    New Products

    Panel Navigation

    Medical Imaging Toolbox

    Visualize, register, segment, and label 2D and 3D medical images

    Panel Navigation

    Simscape Battery

    Design and simulate battery and energy storage systems

    Major Updates

    • AUTOSAR Blockset – Develop adaptive applications using ara::com methods and deploy on embedded Linux; author datatypes and interfaces in architecture models
    • Fuzzy Logic Toolbox – Design, analyze, and simulate fuzzy inference systems (FIS) interactively, including type-2 systems, using the updated Fuzzy Logic Designer app
    • HDL Coder – Generate SystemC code from MATLAB and use the frame-to-sample conversion for model and code optimization
    • HDL Verifier – Perform cosimulation with Xilinx Vivado Simulator and use a command-line interface for testbench automation
    • Model Predictive Control Toolbox – Use neural networks as prediction models; design controllers that meet ISO 26262 and MISRA C standards
    • System Identification Toolbox – Use machine learning and deep learning techniques for nonlinear system identification, including nonlinear state-space models using neural ODEs

    Release Highlights

    Panel Navigation
    MATLAB code to create a dictionary object and access a value within the object using a key.

    MATLAB

    dictionary Object

    Map unique keys to values for fast lookup

    Panel Navigation
    Dock the Simulink Library Browser for faster model authoring.

    Simulink

    Library Browser

    Dock the Library Browser within a model

    Panel Navigation
    Convert deep learning models between MATLAB, TensorFlow, and PyTorch. 

    Deep Learning Toolbox

    Model Import/Export

    Import PyTorch models directly; and export models to TensorFlow

    MATLAB

    • .NET Engine API: Call MATLAB from .NET applications
    • Build Tool: Create and run software-build tasks
    • App Performance: Faster launching and more responsive graphics interaction

    Curve Fitting Toolbox

    Simulink: Export Curve Fitter results to a Simulink Lookup Table Block

    Instrument Control Toolbox

    NI Vector Signal Transceiver: Configure generator and acquire IQ data for over-the-air wireless testing and design validation workflows

    Statistics and Machine Learning Toolbox

    • Live Editor Tasks: Reduce Dimensionality by reduction criteria
    • Simulink: Block for prediction with KNN classifier

    Signal Processing Toolbox

    Preprocessing: Filter and edit signals interactively in the Signal Analyzer app

    Simulink

    • Simulink Support Package: Manage design variations with the Variant Manager for Simulink support package
    • Service Oriented Architecture: Architect, schedule, simulate, and implement asynchronous client-server interfaces

    Computer Vision Toolbox

    Automate tasks using anomaly detection and classification techniques

    Embedded Coder

    • Embedded Coder Support Package for Linux Applications: Deploy and prototype Service Oriented Architecture (SOA) applications on Linux
    • Coder Dictionary: Deploy models as components that include comprehensive service interface support

    IEC Certification Kit

    ISO 26262: Qualification of MATLAB, Simulink, and Stateflow as ISO 26262 TCL1 tools

    MATLAB Coder

    TensorFlow Lite: Generate C++ code for pretrained models and deploy them on Windows and Linux platforms

    Release Resources