Summary of "Embedded Systems - E30 - Extended Finite State Machines"
Summary of "Embedded Systems - E30 - Extended Finite State Machines"
This video discusses Extended Finite State Machines (EFSMs), an enhancement over traditional Finite State Machines (FSMs) used in Embedded Systems modeling. The main focus is on how EFSMs incorporate variables, inputs, and outputs into state transitions to handle more complex system behaviors efficiently.
Main Ideas and Concepts
- Limitations of Basic FSMs:
- Traditional FSMs can become cumbersome when dealing with large parameter ranges or numerous states.
- Example: A Garage Counter FSM where manually enumerating states for a large parameter M is impractical.
- Introduction to Extended Finite State Machines (EFSMs):
- EFSMs extend FSMs by including variables that can be read and modified.
- Variables are used alongside states to decide transitions and actions.
- EFSMs require explicit declaration of:
- Variables (with their domains/ranges)
- Inputs (signals or events)
- Outputs (actions or signals triggered by transitions)
- Notation and Representation:
- EFSM transitions use a consistent formula-like notation, often represented with an "F triangle" symbol.
- Variables and outputs can be modified within transition actions.
- The notation clearly distinguishes between variables, inputs, and outputs.
- Output actions and variable updates can be part of the transition conditions or results.
- Example: Traffic Light Controller at a Pedestrian Crossing:
- Variables:
count(ranges from 0 to 60) - Inputs:
pedestrian(a pure signal indicating pedestrian presence) - Outputs: signals controlling traffic lights
- Initial transition leads to the red light state.
- Default transitions exist to handle situations when no other transitions are taken.
- Default transitions can have implicit or explicit set actions (e.g., incrementing the count variable).
- Some states (like green) may have no output actions on default transitions.
- Most transitions between colors involve specific output actions (e.g., activating green signals).
- Variables:
- Time-Triggered Model:
- The EFSM described is time-triggered, reacting to clock ticks.
- The
countvariable acts as a timer, incremented on each clock tick to manage timing of state transitions.
Methodology / Instructions for Modeling with EFSMs
- Define Variables:
- List all state-related variables and their ranges.
- Declare Inputs:
- Identify external signals or events that influence transitions.
- Declare Outputs:
- Specify outputs or actions triggered by transitions.
- Specify Initial State and Transition:
- Define the starting state and any initial variable settings.
- Define Transitions:
- For each transition, specify:
- Source and target states
- Conditions based on variables and inputs
- Actions modifying variables or outputs
- For each transition, specify:
- Handle Default Transitions:
- Define default transitions for cases where no other transitions apply.
- Include any implicit or explicit actions (e.g., increment counters).
- Represent Model Using Formal Notation:
- Use consistent symbolic notation (e.g., F triangle) to represent transitions and actions clearly.
- Incorporate Timing if Needed:
- Use a time-triggered approach with clock ticks to handle time-based transitions.
- Use counters or timers as variables incremented on clock ticks.
Speakers / Sources Featured
- Single Speaker: The video appears to feature a single instructor or presenter explaining the concepts and walking through the example of the Traffic Light Controller EFSM.
This summary captures the essence of EFSMs, their advantages over traditional FSMs, and how to formally model systems with variables, inputs, outputs, and timing considerations.
Category
Educational