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Stateflow for Automotive Applications
Next level after the fundamental
Stateflow for Automotive Applications
Learn to model complex decision logic and finite state machines using Stateflow
Complimentary Services: Post training email support & 1-hr consultation session within 1 month after the course completion!
Course
Highlights
This version of Stateflow for Logic-Driven System Modeling is for automotive engineers looking to model and simulate event-driven and logic systems. This two-day course offers hands-on automotive examples and exercises that apply basic techniques to realistic problems in the automotive industry. Topics include:
- Flow charts
- State machines
- Hierarchical state machines
- Parallel state machines
- Events in state machines
- Functions in state machines
- Truth tables
- State transition tables
- Component-based modeling
Who Should
Attend
Engineers who are designing logic driven algorithms or behavioral algorithms.
Course
Prerequisites
- MATLAB Fundamentals for Automotive Applications
- Simulink Fundamentals for Automotive ApplicationsDuration
Course
Benefits
Upon completion of the course, the participants will be able to:
- Create decision logic using flow charts
- Create state machines using state transition charts
- Incorporate hierarchy and parallelism in state charts
- Control the execution of components using events
- Create reusable functions and components in Stateflow charts
- Create decision logic and state machines in tabular form
- Work with data types and structured data in Stateflow charts
Partners
Upcoming Program
- Please keep me posted on the next schedule
- Please contact me to arrange customized/ in-house training
Course Outline
Modeling Flow Charts
Objective: Implement decision flows with flow charts.
- Junctions and transitions
- Flow chart behavior
- Stateflow interface
- Conditions and condition actions
- Chart data
- Common patterns
Modeling State Machines
Objective: Implement state machines with state transition diagrams.
- State machine behavior
- State and transition actions
- Chart initialization
- Action execution order
- Flow charts within states
- Mealy and Moore charts
Hierarchical State Diagrams
Objective: Implement hierarchical diagrams to improve the clarity of state machine designs.
- Superstates and substates
- State data
- History junction
- Transition priority
- Action execution order
Parallel State Diagrams
Objective: Implement parallel states to model multiprocessing designs.
- Benefits of parallel states
- Chart/state decomposition
- Parallel state behavior
Using Events in State Diagrams
Objective: Use events within a Stateflow diagram to affect chart execution.
- Using events in state diagrams
- Broadcasting events
- Behavior of state diagrams that contain events
- Implicit events
- Temporal logic operators
Calling Functions from Stateflow
Objective: Create functions in a Stateflow chart out of Simulink blocks, MATLAB code, and flow charts.
- Types of functions
- Simulink functions
- MATLAB functions
- Graphical functions
Truth Tables and State Transition Tables
Objective: Create flow charts and state transition diagrams in tabular form.
- Truth tables
- Conditions, decisions, and actions
- State transition tables
- States, transitions, and actions
Component-Based Modeling in Stateflow
Objective: Reuse Stateflow designs, constrain chart semantics, and interact with structured Simulink data.
- Bus signals
- Data types
- Atomic subcharts
- Data mapping
- Chart reuse