Time-Based Scheduling - MATLAB & Simulink (original) (raw)

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Solver, sample rates and transitions, tasking, and real-time execution

Design models for algorithms that depend on time-based scheduling and for which you intend to generate code. Assess usage of continuous and discrete blocks. Use fixed-step solvers for models that run at one or more sample rates. Choose between single-tasking and multitasking execution modes. Identify and handle sample rate transitions within a model.

Topics

• Time-Based Scheduling and Code Generation
  Consider continuous and discrete block usage, sample times, rate transitions for multirate models, discretization, and choosing between single-tasking mode and multitasking mode when designing models intended for code generation.
• Periodic and Aperiodic Function Interfaces
  Generate callable entry-point functions for the algorithm represented by a top model.
• Data Transfer Representation and Processing
  Learn about data transfer basics.
• Configure Time-Based Scheduling
  Configure the solver type, solver, fixed-step size, periodic sample time constraints, and solver diagnostics for code generation.
• Execution of Code Generated from a Model
  Execute code generated from single-tasking and multitasking models for rapid-prototyping and embedded system run-time environments.
• Tasking Modes and Execution Order
  Example that shows task execution order for blocks in a model when configured for single-tasking versus multitasking execution.
• Optimize Multirate Multitasking Execution for RTOS Target Environments
  Improve performance of generated code by using real-time operating system (RTOS) task management mechanisms to eliminate redundant scheduling calls for multirate, multitasking models.

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