Explore What's New
Get more out of MATLAB and Simulink by downloading the latest release.
Release Highlights
New Products
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Deep Learning HDL Toolbox - Prototype and deploy deep learning networks on FPGAs and SoCs
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Lidar Toolbox - Design, analyze, and test lidar processing systems
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RoadRunner Scene Builder - Automatically generate 3D road models from HD maps
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UAV Toolbox - Design, simulate, and deploy UAV applications
Major Updates
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MATLAB Graphics - Use the new bubble and swarm charts, and customize charts with new options for titles, labels, and axis limits.
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MATLAB App Building - Diff and merge App Designer apps, and add custom figure icons and custom components to your MATLAB apps.
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GPU Coder - Simulate and deploy Simulink models to NVIDIA® GPUs
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Mapping Toolbox - Build 3D map displays with base maps and convert geographic data between coordinate reference systems
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Model Predictive Control Toolbox - Simulate and generate code for MPC controllers with FORCES PRO solvers developed by Embotech
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Optimization Toolbox - Solve optimization problems using a Live Editor task. Apply automatic differentiation to nonlinear expressions
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RF Blockset - Model transceiver antennas, including frequency-dependent impedance and far-field radiation pattern
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RF Toolbox - Design RF transceivers using nonlinear harmonic balance analysis in the RF Budget Analyzer app
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Sensor Fusion and Tracking Toolbox - Design, simulate, and test multisensor tracking and positioning systems in autonomous and surveillance applications
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SerDes Toolbox - Model jitter and cross-talk in time-domain simulation and statistical analysis of SerDes systems
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SimBiology - Build models interactively in a single consolidated view using SimBiology Model Builder
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Simscape - Model and simulate multidomain physical systems
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Simulink Check - Assess completeness of requirements-based testing activities for ISO 26262 or DO-178C with testing dashboard
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Simulink Online - Use Simulink through your web browser
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Simulink Real-Time - Discover new 64-bit RTOS, explorer, graphical instrumentation, and signal logging
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Statistics and Machine Learning Toolbox - Use AutoML for classification and regression, LIME interpretability, and native Simulink blocks for SVM prediction