R2019b at a Glance

 

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

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Video length is 2:15.

 

Release Highlights

Deep Learning

Use automatic differentiation, shared weights, and custom training loops to build advanced deep learning architectures, like GANs and Siamese networks.

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Stateflow Onramp

Learn the basics of how to create, edit, and simulate Stateflow models through an interactive tutorial.

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Automotive

Author AUTOSAR compositions and simulate with basic software services; test automated driving algorithms in 3D simulation; and leverage the deep learning engine model and P0-P4 HEV models for control algorithm testing and system simulation.

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Robotics

ROS Toolbox: Design, simulate, and deploy ROS-based applications

Navigation Toolbox: Design, simulate, and deploy algorithms for planning and navigation

Robotics System Toolbox: Design, simulate, and test robotics applications

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MATLAB Live Editor

Interactively explore parameters and preprocess data. Generate MATLAB code that becomes part of your live script.

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Simulink

Access and discover Simulink capabilities with the new Simulink toolstrip.

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Resources

Release Notes

Why Upgrade?

License-Related Changes

Software Maintenance Service

System Requirements

Previous Releases

Updates by Product

MATLAB Product Family

MATLAB

  • Live Editor Tasks
    • Add tasks to live scripts to explore parameters and automatically generate code
    • Use tasks to interactively preprocess data and automatically generate MATLAB code
  • Chart Container Class: Develop custom charts that behave like built-in MATLAB graphics
  • uitable and uistyle Functions: Sort tables interactively and create styles for rows, columns, or cells in a table UI component
  • uihtml Function: Add HTML, JavaScript, or CSS content to apps
  • Function input arguments: Declare function input arguments to simplify input error checking
  • Hexadecimal and Binary Numbers: Specify numbers using hexadecimal and binary literals
  • Python interface: Execute Python functions out-of-process to avoid library conflicts between MATLAB and Python

Optimization Toolbox

  • Code Generation: Generate C/C++ code to solve nonlinear constrained optimization problems with fmincon (requires MATLAB Coder)

Statistics and Machine Learning Toolbox

  • Machine Learner Apps: Optimize hyperparameters in Classification Learner and Regression Learner, and specify misclassification costs in Classification Learner
  • Code Generation: Update a deployed decision tree or linear model without re-generating code, and generate C/C++ code for probability distribution functions (requires MATLAB Coder)
  • Code Generation: Generate fixed-point C/C++ code for the prediction of an SVM model (requires MATLAB Coder and Fixed-Point Designer)

Text Analytics Toolbox

  • Sentiment Analysis: Evaluate sentiment in text data using sentiment scoring algorithms including VADER
  • Deep Learning: Initialize word embedding layers with pretrained word embeddings

Control System Toolbox

  • Live Editor Tasks: Perform model transformation and control design tasks interactively and generate MATLAB code in a live script

Deep Learning

Deep Learning Toolbox

  • Training Flexibility: Train advanced network architectures using custom training loops, automatic differentiation, shared weights, and custom loss functions
  • Deep Learning Networks: Build generative adversarial networks (GANs), Siamese networks, variational autoencoders, and attention networks
  • Multi-Input, Multi-Output Networks: Train networks with multiple inputs and multiple outputs
  • ONNX Support: Export networks that combine CNN and LSTM layers and networks that include 3-D CNN layers to ONNX format

Signal Processing

Audio Toolbox

Phased Array System Toolbox

  • Bicyclist Radar Backscatter Model: Simulate backscattered radar signals from a bicycle and rider

Simulink Product Family

Simulink

  • Simulink Toolstrip: Access and discover Simulink capabilities when you need them
  • Subsystem Reference: Componentize your models by converting any subsystem into a subsystem reference to save it in a standalone file and promote its reuse
  • Blockset Designer: Create, test, document and publish an entire blockset within one interface
  • Messages: Model and generate C++ code for software compositions with message-based communication

Stateflow

  • Stateflow Onramp: Learn the basics of how to create, edit, and simulate State machines through an interactive tutorial

System Composer

  • Architecture Views: Automatically or manually create customized views for specific design or analysis concerns enabling communication between multiple stakeholders.

Simscape Multibody

  • Reduced-Order Flexible Solid Block: Model deformation in bodies of diverse geometries
  • Contact Forces: Model contact between bodies forced together during simulation

Simscape Driveline

  • Source Code Access: View source code for Simscape Driveline blocks

Simulink Report Generator

  • Embedded Web View: Use the Report API (in addition to the DOM API) to generate embedded web views from Simulink models.

Code Generation and Verification

Embedded Coder

  • Generate object-oriented C++ Code for Software Compositions with Message-Based Communication.

Fixed-Point Designer

  • Lookup Table Optimization: Allow off-curve table values in optimized lookup tables.
  • Test bit patterns: Generate simulation inputs to test full operating bit range for your design.

MATLAB Coder

  • Optimization Toolbox Code Generation: Generate code for nonlinear constrained optimization using fmincon.
  • Statistics and Machine Learning Toolbox™ Code Generation: Generate code for probability distribution functions and fixed-point code for prediction of an SVM model.

GPU Coder

  • Long Short-Term Memory (LSTM) Networks: Generate code for recurrent networks such as LSTM.

Vision HDL Toolbox

  • Multipixel Streaming: Process high-frame-rate or high-resolution video on FPGA.

HDL Verifier

  • Universal Verification Methodology support: Automatically generate UVM components from Simulink models for use in verification environments.
  • FPGA Data-Capture: Capture signals with greater flexibility using comparison operators in defining triggers.

Automotive

AUTOSAR Blockset

  • AUTOSAR Architecture: Author compositions, simulate functional behavior with basic software services using Composition Editor (requires System Composer)

Automated Driving Toolbox

  • 3D Simulation: Develop, test, and verify driving algorithms in a 3D simulation environment rendered using the Unreal Engine from Epic Games

Powertrain Blockset

  • Deep Learning SI Engine Model: Generate a deep learning engine model for algorithm design and performance, fuel economy, and emissions analysis
  • HEV Reference Applications: New or updated reference applications for single-motor HEV architectures P0, P1, P2, P3 and P4. Fully assembled models use a new equivalent consumption minimization strategy (ECMS) for the supervisory hybrid control.

Robotics and Autonomous Systems

Navigation Toolbox

  • A new product for designing, simulating, and deploying algorithms for planning and navigation

ROS Toolbox

  • A new product for designing, simulating, and deploying ROS-based applications

Robotics System Toolbox

  • Gazebo Co-simulation: Perform time-synchronized simulation of Gazebo with Simulink
  • Collision Checking: Define collision shapes and detect collisions between mesh geometries

Sensor Fusion and Tracking Toolbox

  • Track-level fuser: Perform track-to-track fusion and architect decentralized tracking systems
  • Gaussian mixture PHD tracker: Track point objects and extended objects with designated shapes

Verification and Validation

Simulink Test

  • Guided Back-to-Back Testing Wizard: Use guided workflow to set up back-to-back equivalence and baseline testing

Simulink Coverage

  • Requirements-to-Test-Case Traceability: View Requirements Toolbox links and coverage details for each Simulink block when generating coverage reports from Simulink Test Manager

Requirements Toolbox

  • Link Exchange with Third Party Tools:  Share links with third party tools through ReqIF
  • Traceability to DOORS 9 Baselines: Navigate from model to baseline requirements in IBM Rational DOORS 9

Simulink Check

  • Automated Clone Refactoring App: Detect subsystem or library pattern clones, refactor and check equivalency of refactored model

Polyspace Products

  • AUTOSAR C++14 Support: Check for misuse of lambda expressions, potential problems with enumerations, and other issues
  • Shared Variables Mode: Run a less extensive Code Prover analysis on complete application to compute global variable sharing and usage only
  • Simulink Support: Analyze generated code by using contextual buttons on the Simulink Editor toolstrip
  • Simulink Support: Verify custom code called from C Caller blocks and Stateflow charts in context of model