Training - Courses

SF01: Stateflow for Logic Driven System Modeling

Stateflow® for Logic-Driven System Modeling is a hands-on course that covers the use of Stateflow in implementing complex decision flows and finite-state machines. The course is designed for Simulink® users who wish to model and simulate event driven and logic systems. It focuses on how to employ flow graphs, state machines, and truth tables in Simulink designs. Topics include:

Modeling complex logic flows
Modeling state machines
Implementing hierarchical state machines
Implementing supervisory logic
Implementing multiprocessing state machines
Implementing truth tables
Incorporating MATLAB algorithms into Stateflow designs
Managing the Stateflow design interface

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	Detailed course outline

Day 1 of 2
Introduction	Objective: Obtain a quick overview of The MathWorks and discuss course logistics.
Modeling Complex Logic Flows	Objective: Explain how to implement decision flows with flow diagrams. What is a flow graph Constructing a flow graph Semantics of a flow graph Reusing a flow graph
Modeling State Machines	Objective: Explain how to implement state machines with state diagrams. Define a state machine Constructing a state machine Behavior of an event-driven state machine Behavior of a condition-driven state machine Semantics of a state machine Inner flow graphs
Implementing Hierarchical State Machines	Objective: Explain how to implement hierarchical diagrams to improve clarity of state machine designs. Why use hierarchy Constructing a multilevel state machine Behavior of a multilevel state machine Recovering active substates Semantics of a cross-level state transition
Implementing Supervisory Logic	Objective: Explain how to implement supervisory logic to control block execution. How can Stateflow control black executions Implicit events and temporal logic Broadcasting output events Scheduling external block updates

Day 2 of 2
Implementing Multiprocessing State Machines	Objective: Explain how to implement parallel states to model multiprocessing designs. Why use parallelism? Constructing a multiprocessing state machine Behavior of parallel states Semantics of a event broadcast state transition
Implementing Truth Tables	Objective: Explain how to implement truth tables. What is a truth table Constructing a truth table Populating the condition and action tables Specifying the decision set Binding actions to the decision set Friction model example
Incorporating MATLAB Algorithm into Stateflow Designs	Objective: Explain how to incorporate MATLAB routines into flow graphs and state machines. When to use Embedded MATLAB functions Crating an Embedded MATLAB function Defining the function signature Programming the function
Managing Stateflow Design Interface	Objective: Explain how to reuse Stateflow designs and external C routines. Considering the design interface in Stateflow Creating a reconfigurable design with Stateflow software Creating a reusable design with Stateflow software Sharing data and functions with other charts Importing external C code

Prerequisites

Working experience with MATLAB® and Simulink is required. MATLAB Fundamentals and Programming Techniques and Simulink for System and Algorithm Modeling can be taken to satisfy the prerequisites. Knowledge of C programming is helpful.

Course Length - 2 days

Price - $1,100.00

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Training - Courses

SF01: Stateflow for Logic Driven System Modeling

Prerequisites

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