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

R2021b Release Highlights

New Products

Major Updates

  • Lidar Toolbox - Use Lidar Viewer app to visualize, analyze, and preprocess lidar point clouds interactively

  • Simulink Code Inspector - Use Code Inspector contextual tab to check compatibility, inspect code and view results directly in the model

  • Simulink Control Design - Design Model Reference Adaptive Controllers

  • Symbolic Math Toolbox - Get guidance for symbolic workflows with next-step suggestions in MATLAB Live Editor

  • Wavelet Toolbox - Use wavelet analysis to process and extract features for signals and images for AI workflows

Release Details by Product

MATLAB Product Family


  • Editor: Explore new capabilities for code refactoring and block editing, as well as improved code suggestions, code completion, and debugger

  • Python Interface: Run Python commands and scripts from MATLAB

  • BackgroundPool: Run MATLAB functions on a background thread

  • Live Editor Tasks: Interactively summarize, transform, and filter groups of data (compute by group) and center and scale data (normalize data)

  • trenddecomp Function: Find trends in data

  • HDF5: Support for HDF5 version 1.10, including Single-Writer/Multiple-Reader (SWMR), Virtual Dataset (VDS), and Metadata Cache Fine-Tuning

  • Hardware: Use new apps for communicating with devices via serial (serial explorer) and TCP/IP (TCP/IP explorer)

  • ode78 and ode89 Functions: Use high-order Runge-Kutta solvers for ordinary differential equations

  • Projects: Organize, manage, and share your work using projects in MATLAB Online


Lidar Toolbox

  • Lidar Viewer App: Visualize, analyze, and preprocess lidar point clouds interactively using the Lidar Viewer app

  • Aerial Lidar Processing: Apply deep learning and SLAM algorithms on aerial lidar data

Wavelet Toolbox

  • Machine Learning and Deep Learning Feature Extraction: Perform signal and image analysis, preprocessing, and feature extraction with wavelet techniques and interactive apps for AI models

  • Acceleration and Deployment: Speed up wavelet algorithms using multicore processors and GPUs; generate code for desktop prototyping and embedded deployment


Simulink Product Family


  • Multiple Simulations Panel: Run multiple simulations for different scenarios from Simulink Editor

  • Custom Tabs: Create custom Simulink toolstrip tabs

  • Mini Map: Determine context when viewing part of a block diagram


  • Entry and Exit Junctions: Create entry and exit connections across hierarchy boundaries

System Composer

  • Physical Interfaces with Simscape: Create physical interfaces, ports, and connections on components

  • Software Architectures: Create software architectures from existing components

  • Test Harness Support: Create test harnesses for System Composer components

Simulink Compiler

  • Runtime Parameter Tuning: Tune parameters while a deployed simulation is running

AI, Data Science, and Statistics

Statistics and Machine Learning Toolbox

  • Shallow Neural Networks: Use in Simulink as native blocks; automate hyperparameter tuning

  • Machine Learning: Explore k-means clustering in a live task and use isolation forest for anomaly detection

  • Deployment: Export models from the Classification and Regression Learner app to MATLAB Production Server

Deep Learning Toolbox

  • 1D Convolutional Networks: Create and train networks for sequence and time-series data

  • Deep Network Designer: Export trained networks to Simulink

  • Neural ODEs: Compute deep learning solution of nonstiff ordinary differential equations using dlode45


Simulink Control Design

  • Model Reference Adaptive Control Block: Design and simulate Model Reference Adaptive Controllers


Reinforcement Learning Toolbox

  • Rewards Generation: Automatically generate reward functions from controller specifications

Model Predictive Control Toolbox

  • Nonlinear MPC: Implement multistage nonlinear MPC controllers with the Embotech FORCESPRO solver

System Identification Toolbox

  • Nonlinear ARX Models: Create models that use regression functions based on machine learning algorithms

Predictive Maintenance Toolbox

  • Diagnostic Feature Designer: Rank unlabeled features, and generate spectral features for characteristic fault frequency bands in rotating machinery

RF and Mixed-Signal

RF PCB Toolbox

  • New Product: Perform electromagnetic analysis of printed circuit boards


Signal Integrity Toolbox

  • New Product: Simulate and analyze high-speed serial and parallel links

Math and Optimization

Symbolic Math Toolbox

  • Next-Step Suggestions: Get guidance for symbolic workflows with next-step suggestions in MATLAB Live Editor

Global Optimization Toolbox

  • Problem-Based Workflow: Solve nonsmooth or global optimization problems using the problem-based optimization workflow

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