🎭Design Patterns

Design Patterns in Embedded Systems

Updated 2026-05-15

10 min read

Design Patterns in Embedded Systems

Introduction

Embedded systems are specialized computer systems designed for specific functions within a larger system. They are prevalent in various applications, from automotive and medical devices to consumer electronics and industrial machinery. Design patterns play a crucial role in developing robust, maintainable, and scalable embedded systems. This tutorial explores how design patterns can be effectively applied to embedded systems and devices.

Concept

Design patterns provide proven solutions to common problems encountered during software development. They are not specific implementations but rather templates that can be adapted to fit the requirements of a particular project. In the context of embedded systems, these patterns help manage complexity, improve reliability, and optimize resource usage.

Key Design Patterns for Embedded Systems

Singleton Pattern: Ensures that a class has only one instance and provides a global point of access to it.
Observer Pattern: Defines a dependency between objects so that when one object changes state, all its dependents are notified and updated automatically.
State Pattern: Allows an object to alter its behavior when its internal state changes.
Strategy Pattern: Enables selecting algorithms at runtime.

Examples

Singleton Pattern

The Singleton pattern is particularly useful in embedded systems where resource management is critical. Here’s how you can implement it:

C++

1class Singleton {
2private:
3  static Singleton* instance;
4  Singleton() {} // Private constructor to prevent instantiation
5 
6public:
7  static Singleton* getInstance() {
8      if (instance == nullptr) {
9          instance = new Singleton();
10      }
11      return instance;
12  }
13 
14  void doSomething() {
15      // Implementation
16  }
17};
18 
19// Initialize the static member variable
20Singleton* Singleton::instance = nullptr;

Info

Ensure that the Singleton instance is properly managed to avoid memory leaks, especially in environments with limited resources.

Observer Pattern

The Observer pattern is useful for creating a subscription mechanism to allow multiple objects to listen and react to changes in another object. Here’s an example:

C++

1class Subject {
2private:
3  std::vector<std::function<void(int)>> observers;
4 
5public:
6  void addObserver(std::function<void(int)> observer) {
7      observers.push_back(observer);
8  }
9 
10  void notifyObservers(int data) {
11      for (auto& observer : observers) {
12          observer(data);
13      }
14  }
15};
16 
17class Observer {
18public:
19  void update(int data) {
20      // Handle the updated data
21  }
22};

Info

In embedded systems, consider using lightweight mechanisms to manage observers and notifications to minimize overhead.

State Pattern

The State pattern is beneficial when an object's behavior depends on its state. Here’s a simple example:

C++

1class Context {
2private:
3  State* currentState;
4 
5public:
6  Context(State* initialState) : currentState(initialState) {}
7 
8  void setState(State* newState) {
9      currentState = newState;
10  }
11 
12  void request() {
13      currentState->handle(this);
14  }
15};
16 
17class State {
18public:
19  virtual void handle(Context* context) = 0;
20};
21 
22class ConcreteStateA : public State {
23public:
24  void handle(Context* context) override {
25      // Handle state A logic
26      std::cout << "Handling in state A" << std::endl;
27      context->setState(new ConcreteStateB());
28  }
29};
30 
31class ConcreteStateB : public State {
32public:
33  void handle(Context* context) override {
34      // Handle state B logic
35      std::cout << "Handling in state B" << std::endl;
36      context->setState(new ConcreteStateA());
37  }
38};

Info

In embedded systems, ensure that state transitions are efficient and do not introduce unnecessary delays or resource consumption.

Strategy Pattern

The Strategy pattern allows you to define a family of algorithms, encapsulate each one, and make them interchangeable. Here’s an example:

C++

1class Strategy {
2public:
3  virtual void execute() = 0;
4};
5 
6class ConcreteStrategyA : public Strategy {
7public:
8  void execute() override {
9      // Implementation for strategy A
10      std::cout << "Executing strategy A" << std::endl;
11  }
12};
13 
14class ConcreteStrategyB : public Strategy {
15public:
16  void execute() override {
17      // Implementation for strategy B
18      std::cout << "Executing strategy B" << std::endl;
19  }
20};
21 
22class Context {
23private:
24  Strategy* strategy;
25 
26public:
27  void setStrategy(Strategy* newStrategy) {
28      strategy = newStrategy;
29  }
30 
31  void executeStrategy() {
32      if (strategy != nullptr) {
33          strategy->execute();
34      }
35  }
36};

Info

When implementing the Strategy pattern in embedded systems, consider memory constraints and ensure that strategies are loaded efficiently.

What's Next?

In this tutorial, we explored how design patterns can be applied to embedded systems to manage complexity and optimize resource usage. In the next section, we will delve into "Design Patterns in Robotics," where we will examine specific patterns tailored for robotic applications.

By understanding and applying these design patterns, developers can create more efficient, maintainable, and scalable embedded systems and devices.

🎭Design Patterns

Design Patterns in Embedded Systems

Updated 2026-05-15

10 min read

Design Patterns in Embedded Systems

Introduction

Concept

Key Design Patterns for Embedded Systems

Singleton Pattern: Ensures that a class has only one instance and provides a global point of access to it.
Observer Pattern: Defines a dependency between objects so that when one object changes state, all its dependents are notified and updated automatically.
State Pattern: Allows an object to alter its behavior when its internal state changes.
Strategy Pattern: Enables selecting algorithms at runtime.

Examples

Singleton Pattern

The Singleton pattern is particularly useful in embedded systems where resource management is critical. Here’s how you can implement it:

C++

1class Singleton {
2private:
3  static Singleton* instance;
4  Singleton() {} // Private constructor to prevent instantiation
5 
6public:
7  static Singleton* getInstance() {
8      if (instance == nullptr) {
9          instance = new Singleton();
10      }
11      return instance;
12  }
13 
14  void doSomething() {
15      // Implementation
16  }
17};
18 
19// Initialize the static member variable
20Singleton* Singleton::instance = nullptr;

Info

Ensure that the Singleton instance is properly managed to avoid memory leaks, especially in environments with limited resources.

Observer Pattern

The Observer pattern is useful for creating a subscription mechanism to allow multiple objects to listen and react to changes in another object. Here’s an example:

C++

1class Subject {
2private:
3  std::vector<std::function<void(int)>> observers;
4 
5public:
6  void addObserver(std::function<void(int)> observer) {
7      observers.push_back(observer);
8  }
9 
10  void notifyObservers(int data) {
11      for (auto& observer : observers) {
12          observer(data);
13      }
14  }
15};
16 
17class Observer {
18public:
19  void update(int data) {
20      // Handle the updated data
21  }
22};

Info

In embedded systems, consider using lightweight mechanisms to manage observers and notifications to minimize overhead.

State Pattern

The State pattern is beneficial when an object's behavior depends on its state. Here’s a simple example:

C++

1class Context {
2private:
3  State* currentState;
4 
5public:
6  Context(State* initialState) : currentState(initialState) {}
7 
8  void setState(State* newState) {
9      currentState = newState;
10  }
11 
12  void request() {
13      currentState->handle(this);
14  }
15};
16 
17class State {
18public:
19  virtual void handle(Context* context) = 0;
20};
21 
22class ConcreteStateA : public State {
23public:
24  void handle(Context* context) override {
25      // Handle state A logic
26      std::cout << "Handling in state A" << std::endl;
27      context->setState(new ConcreteStateB());
28  }
29};
30 
31class ConcreteStateB : public State {
32public:
33  void handle(Context* context) override {
34      // Handle state B logic
35      std::cout << "Handling in state B" << std::endl;
36      context->setState(new ConcreteStateA());
37  }
38};

Info

In embedded systems, ensure that state transitions are efficient and do not introduce unnecessary delays or resource consumption.

Strategy Pattern

The Strategy pattern allows you to define a family of algorithms, encapsulate each one, and make them interchangeable. Here’s an example:

C++

1class Strategy {
2public:
3  virtual void execute() = 0;
4};
5 
6class ConcreteStrategyA : public Strategy {
7public:
8  void execute() override {
9      // Implementation for strategy A
10      std::cout << "Executing strategy A" << std::endl;
11  }
12};
13 
14class ConcreteStrategyB : public Strategy {
15public:
16  void execute() override {
17      // Implementation for strategy B
18      std::cout << "Executing strategy B" << std::endl;
19  }
20};
21 
22class Context {
23private:
24  Strategy* strategy;
25 
26public:
27  void setStrategy(Strategy* newStrategy) {
28      strategy = newStrategy;
29  }
30 
31  void executeStrategy() {
32      if (strategy != nullptr) {
33          strategy->execute();
34      }
35  }
36};

Info

When implementing the Strategy pattern in embedded systems, consider memory constraints and ensure that strategies are loaded efficiently.

What's Next?

By understanding and applying these design patterns, developers can create more efficient, maintainable, and scalable embedded systems and devices.