R2022a Release Highlights
New Products
- Bluetooth Toolbox – Simulate, analyze, and test Bluetooth communications systems
- DSP HDL Toolbox – Design digital signal processing applications for FPGAs, ASICs, and SoCs
- Industrial Communication Toolbox – Exchange data over OPC UA, Modbus, MQTT, and other industrial protocols
- RoadRunner Scenario – Create and play back scenarios for automated driving simulation
- Wireless Testbench – Explore and test wireless reference applications in real time on SDR hardware
Major Updates
- Econometrics Toolbox – Conduct cointegration tests and fit multivariate time series models interactively in the Econometric Modeler app
- MATLAB Compiler SDK – Publish a MATLAB function as a Docker container microservice
- MATLAB Production Server – Map custom request URLs to deployed MATLAB functions, serve static content, and customize request headers
- Polyspace Access – Identify coding defects, review static analysis results, and monitor software quality metrics
- Requirements Toolbox – Link requirements to MATLAB code and tests; formalize and validate requirements
- Risk Management Toolbox – Perform lifetime expected credit loss (ECL) computations at the individual asset or portfolio level
- Robotics System Toolbox – Construct cuboid scenarios and simulate sensor readings for robotics applications
- Signal Processing Toolbox – AI workflows: pre-process, extract features, and label signals
- Simulink Check – Author custom edit-time checks and justify Model Advisor violations
- Simulink Real-Time – Linux platform support for development computer
Release Details by Product
MATLAB Product Family
MATLAB
- 3 New Apps: Data Cleaner, Hardware Manager, Code Compatibility Analyzer
- Use new pcode file format with stronger obfuscation
- Python: Use simpler keyword passing with name=value syntax, and editor support for Python code
- Graphics: Create animated GIF files; pass tables directly to plot, plot3, polarplot, and other line plotting functions
- App Building: Create custom UI components with App Designer
- Live Editor: Develop your own Live Editor tasks
- N-D Array Math: tensorprod, pagemldivide, pagemrdivide, and pageinv
- Parquet Files: Use conditional filtering (Predicate Pushdown) with rowfilter; support for reading and writing of row groups and nested data structures
- Model Pruning: Create compressed version of models that consumes less computational resources
- MATLAB Deep Learning Model Hub: Discover and use pre-trained deep learning models
- Deployment of Imported Models: Generate code for additional Keras and ONNX built-in layers
- Experiment Manager Batch Experiments: Run multiple experiments simultaneously on a remote cluster (requires MATLAB Parallel Server)
- 1D Convolutional Networks: Create and train networks with 1D transposed convolution for sequence and time series data
- Machine Learning Apps: Save and resume sessions, rank and select features by importance, and reserve data for testing
- Incremental Machine Learning: Perform drift detection on streaming data; train kernel and multi-class linear models
- Deployment: Generate C/C++ code for inference with shallow neural nets
- Simulink: Simulink block for Gaussian process regression
- Curve Fitter app: Use new toolstrip design for improved usability; select fitting and validation data from MATLAB table data types
- MISRA C 2012: Implement MISRA C:2012-compliant controllers with linear MPC and ADAS blocks in Simulink
- Nonlinear System Identification: Create Hammerstein-Wiener models that use regression functions based on machine learning algorithms
- Surrogate Optimization Solver in Response Optimizer and Parameter Estimator Apps: Speed up time-consuming optimization problems
- Model-Based Policy Optimization Agent: Use a model of the environment to improve sample efficiency and exploration
- Multi-Agent Reinforcement Learning: Train multiple agents in a centralized manner for more efficient exploration and learning
- Deployment: Generate C/C++ code for RUL similarity models, rotating machinery metrics, and nonlinear signal features
- Diagnostic Feature Designer: Extract stationary time series features from signal data
- Problem-Based Optimize Live Editor Task: Solve optimization problems and systems of equations using a visual interface
- Problem-Based Optimize Live Editor Task: Solve global and multiobjective optimization problems using a visual interface
- Symbolic Matrix Functions: Perform parameter-dependent linear algebra calculations in compact matrix notation
- Electromagnetic Analysis: Solve time-harmonic wave scattering and transmission problems using a finite element method
- Thermal Reduced Order Models: Approximate dynamic characteristics of a thermal model for faster execution (e.g., for batteries and CPUs)
- Microservice Integration: Create a microservice Docker image using the compiler.package.microserviceDockerImage function
- Web Request Handlers: Support for custom URL routes and request payloads
- Adaptive AUTOSAR: Use ara::com methods and ara::com with service-oriented communication support events Classic AUTOSAR: Simulate basic software component event failure and recovery, including Release 19-11
- Support for RTI Connext Micro communication middleware
- Estimate design costs of data memory consumption and operator counts in generated code
- Generate generic C/C++ code for more deep learning layers
- Improve performance for deep learning network layers, including SIMD
- Support for additional TensorFlow-Keras and ONNX built-in layers
- Incorporate pretrained TensorFlow Lite models for simulation and code generation
- Specify tunable parameters for protected models
- Use deployment types to simplify configuration of top and reference model interfaces
- Improve compliance for MISRA C:2012, MISRA C++:2008, and AUTOSAR C++14
- Generate SIMD code for reduction, bitwise, and shift operations
- Profile stack usage to assess memory consumption
- Streamline masking workflows with new mask editor
- Integrate custom C++ class with C Function block
- Improve simulation performance by using local solvers in referenced models
- Simulink Fundamentals training course
- App Creation: Generate a configurable MATLAB UI from a Simulink model without writing code
- FMU Export: Package files and folders as well as protected models into a standalone FMU
- Summarize Simulink model contents in a table object
- Include user notes in web views
- Integration of Stateflow breakpoints in the Simulink Breakpoints List pane
- Improved workflows in creating atomic subcharts with entry and exit junctions>
- String datatypes now supported in State Transition Table and Truth Table blocks
- Model hydrogen production with new Electrolyzer block
- Parameterize solar panels by selecting from more than 250 manufacturer-specific datasets
- Expanded motor library and features, including switched-reluctance machines, PMSM , and detailed iron losses
- Install and use Simulink Real-Time on Linux development computers
- Automatically create an App Designer instrument panel from a model or real-time application
- Improved test automation with third-party tools with ASAM XIL API classes and methods for MAPort read/write, SignalFactory, SignalGeneratorFactory, and SignalGenerator
- Client-Server Interfaces: Model distributed software service architectures
- Use subsystem references to add reusable Simulink and Simscape behaviors to components
- Compare two versions of an architecture model using the Comparison Tool
- Author, link, and validate requirements within MATLAB
- Trace requirements for test cases created in MATLAB Unit Test
- Formalize requirements with logical expressions using the Requirements Table block
- Track requirements impacted by changes in test cases
- Author custom checks that run at edit-time
- Justify and hide check violations
- Include System Composer models in the Model Testing Dashboard artifact hierarchy
- Refactor similar clones anywhere in the model
- Debug equivalence test failures using Model Slicer
- New logical and temporal assessment functions and classes
- Observer support for messages
- Analyze requirements authored in a Requirements Table to check for consistency and completeness
- AI Workflows: Preprocess, extract features, and label signals
- Generate C/C++ code for more than 200 toolbox functions
- GPU support for feature extraction, spectral analysis, spectral measurements, and transforms
- Spectrum Analyzer with better responsiveness and toolstrip interface for analysis, estimation, and measurement parameters
- Visualize scalogram with Wavelet Time-Frequency Analyzer app
- New examples for AI, room acoustics, and electroacoustic modeling
- Model land and sea surface clutter and reflectivity
- Create custom basemaps for offline use
- Capture image from basemap with georeferencing information
- New image data type for image processing and computer vision in Simulink
- Lidar Sensor Model: Simulate lidar sensors and generate point cloud data
- Generate IP core for Xilinx Versal devices
- Use reference design workflow for Microsemi Libero SoC
- Network custom layer creation, registration, validation, and deployment
- New Product: Model hardware implementations of DSP algorithms and generate HDL (using HDL Coder)
- Support multipixel per clock for Histogram and Bilateral Filter blocks
- Use DVB-S2 receiver reference application
- Use Vivado simulator for cosimulating an HDL design with a Simulink or MATLAB test bench
- Use hardware buffering to improve FPGA-in-the-loop simulation performance
- New Product: Exchange data over OPC UA, Modbus, MQTT, and other industrial protocols
- Access plant and manufacturing data directly from OSIsoft PI servers
- TDMS File Support: Read data from an individual NI TDMS format file or use datastore to read a collection of TDMS files
- UDP Explorer App: Create a UDP socket and communicate over networks using UDP protocolNew Instrument Driver Interface: Connect to instruments using IVI and VXIplug&play drivers
- MDF File Support: Create MDF files and write to MDF files directly from MATLAB
- Image Acquisition Explorer App: Preview live video data from your image acquisition hardware and configure device-specific properties and acquisition settings
- Wireless Communications Onramp: Learn the basics of simulating a wireless communications link in MATLAB
- New Product: Simulate, analyze, and test Bluetooth communications systems
- New Product: Explore and test wireless reference applications in real time on SDR hardware
- Cosimulate scenarios in RoadRunner with actors modeled in MATLAB and Simulink
- Robot Scenarios and Sensor Models: Construct cuboid scenario and simulate sensor readings for robotics applications
- Inverse Kinematics Designer App: Visualize and tune inverse kinematics solvers and create configurations
- Hardware in the Loop: Enable hardware-in-the-loop (HIL) simulation with Pixhawk Autopilot and Simulink plant model
- UAV Scenario Designer App: Design and visualize UAV simulation scenarios interactively
- New Product: Create and play back scenarios for automated driving simulation
- 3D Simulation: Supports custom meshes and aircraft lighting in Simulation 3D Aircraft block
- Instrument Pricing: Model trinomial trees with finprice
- Equity Instruments: Calculate rates and pricing for commodity futures, equity index futures, and FX futures
- Conduct cointegration tests and fit multivariate time series models interactively in the Econometrics Modeler app
- Bayesian State-Space Models: Analyze posterior distributions of random parameters in multivariate linear state-space models
- Lifetime Credit Risk Analysis: Calculate lifetime expected credit loss
- Fairness in Credit Scoring Example: Calculate fairness metrics and detect bias at the data and model level
- Perform Quasi-Monte Carlo simulation
- Portfolio Management: Manage a risk parity portfolio
- Backtesting Framework Example: Backtest with deep learning strategies
- New web dashboard for improved user experience
- Manage Polyspace Access projects programmatically
- Visual Studio Code plug-in with new views for configuration, results, baseline, and mass findings justification
- Improve analysis time by using incremental compilation
- Support 1,216 C/C++, MISRA C++, CERT-C++, CWE, and AUTOSAR C++ rules with 46 new checks
- Adaptive AUTOSAR: Use ara::com methods and ara::com events with service-oriented communication support
- Classic AUTOSAR: Simulate basic software component event failure and recovery, including Release 19-11
- Battery Calibration: Characterize an Equivalent Circuit Battery
- Transient Calibration: Get faster optimization for Simulink models with first-order transient systems
- Use Virtual Vehicle Composer app to configure and build full vehicle models, including component sizing, fuel economy, and drive cycle tracking
- Motor Dynamometer Reference Application: Resize and evaluate electric motors and controllers
- Use Virtual Vehicle Composer app to configure and build full vehicle models, including ride-handling analysis and Unreal Engine visualization
- Use suspension blocks to implement kinematics and compliance test characteristics
AI, Data Science, and Statistics
Deep Learning Toolbox
Statistics and Machine Learning Toolbox
Curve Fitting Toolbox
Control Systems
Model Predictive Control Toolbox
System Identification Toolbox
Simulink Design Optimization
Reinforcement Learning Toolbox
Predictive Maintenance Toolbox
Math and Optimization
Optimization Toolbox
Global Optimization Toolbox
Symbolic Math Toolbox
Partial Differential Equation Toolbox
Application Deployment
MATLAB Compiler SDK
MATLAB Production Server
Code Generation
AUTOSAR Blockset
DDS Blockset
Fixed-Point Designer
MATLAB Coder and GPU Coder
Simulink Coder
Embedded Coder
Simulink Product Family
Simulink
Simulink Compiler
Simulink Report Generator
Event-Based Modeling
Stateflow
Physical Modeling
Simscape Electrical
Real-Time Simulation and Testing
Simulink Real-Time
Systems Engineering
System Composer
Verification, Validation, and Test
Requirements Toolbox
Simulink Check
Simulink Test
Simulink Design Verifier
Signal Processing
Signal Processing Toolbox
DSP Toolbox
Wavelet Toolbox
Audio Toolbox
Radar
Radar Toolbox
Mapping Toolbox
Image Processing and Computer Vision
Computer Vision Toolbox
Lidar Toolbox
FPGA, ASIC, and SoC Development
HDL Coder
Deep Learning HDL Toolbox
DSP HDL Toolbox
Vision HDL Toolbox
Wireless HDL Toolbox
HDL Verifier
Test and Measurement
Industrial Communication Toolbox
Data Acquisition Toolbox
Instrument Control Toolbox
Vehicle Network Toolbox
Image Acquisition Toolbox
Wireless Communications
Communications Toolbox
Bluetooth Toolbox
Wireless Testbench
Autonomous Systems,
Automated Driving Toolbox
Robotics System Toolbox
UAV Toolbox
RoadRunner Scenario
Aerospace
Aerospace Blockset
Computational Finance
Financial Instruments Toolbox
Live Task: Calibrate an option pricing model interactively
Econometrics Toolbox
Risk Management Toolbox
Financial Toolbox
Code Verification
Polyspace Access
Polyspace Bug Finder and Polyspace Bug Finder Server
Automotive
AUTOSAR Blockset
Model-Based Calibration Toolbox
Powertrain Blockset
Vehicle Dynamics Blockset