MathWorks Announces Release 2018a of the MATLAB and Simulink Product Families

Simulink Product Family Updates Include:

  • Simulink:
    • Predictive quick insert to connect a recommended block to an existing block in a model

    • Simulation Pacing for running simulations at wall clock speed or other specified pace for improved visualization
    • Simulation Data Inspector in the Live Editor for directly adding, viewing, and editing plots
  • Simulink 3D Animation:
    • Collision detection for sensing collisions of virtual world objects using point clouds, raytracing, and primitive geometries
  • Simscape:
    • Moist air domain and block library to model HVAC and environmental control systems
    • Partitioning local solver to increase real-time simulation speed

Automotive

  • Automated Driving System Toolbox:
    • Driving Scenario Designer app for interactively defining actors and driving scenarios to test control and sensor fusion algorithms
  • Model Predictive Control Toolbox:
    • ADAS blocks for designing, simulating, and implementing adaptive cruise control and lane-keeping algorithms
  • Vehicle Network Toolbox:
    • CAN FD protocol support in Simulink, and XCP over Ethernet to communicate with ECUs from MATLAB or Simulink

  • Model-Based Calibration Toolbox:
    • Powertrain Blockset integration for using measured data to calibrate and generate tables for Powertrain Blockset mapped engines
  • Vehicle Dynamics Blockset:
    • A new product for modeling and simulating vehicle dynamics in a virtual 3D environment

Code Generation

  • Embedded Coder:
    • Embedded Coder dictionary for defining custom code generation configurations for data and functions
    • Code Perspective for customizing Simulink desktop for code generation workflows
  • MATLAB Coder:
    • Row-major array layout to simplify interfacing generated code with C environments storing arrays in row-major format
    • Sparse matrix support to enable more efficient computation using sparse matrices in generated code
    • C code generation for machine learning deployment including k-nearest neighbor, nontree ensemble models, and distance calculations with Statistics and Machine Learning Toolbox
  • Fixed-Point Designer:
    • Lookup table optimization for approximating functions and minimizing existing lookup table RAM usage
  • HDL Coder:
    • Matrix support enabling HDL code generation directly from algorithms with two-dimensional matrix data types and operations




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