MATLAB and Simulink for Model-Based Systems Engineering Workshop by Tonex
MATLAB and Simulink for Model-Based Systems Engineering Workshop provides participants with the knowledge and skills to effectively use MATLAB and Simulink for modeling, designing, simulating and analyzing complex systems and system of systems (SoS). Participants will learn how to use Model-Based Systems Engineering (MBSE) approach to integrate system requirements, architecture, implementation and verification & validation models within a single environment.
Participants will learn how to analyze ConOps and operational requirements, capture system requirements, create system architecture models, perform trade studies, validate designs through simulation-based tests, and implement components using Model-Based Design in Simulink. This workshop is ideal for systems engineers, software engineers, and engineering professionals seeking to enhance their capabilities in developing sophisticated systems using MATLAB and Simulink.
Modeling with Simulink is also instrumental to validating system-level requirements, developing requirements-based verification and validation tests, and defining low-level software requirements.
MATLAB®, Simulink® create a single environment for creating descriptive architecture models that seamlessly bridge into detailed implementation models. The connected environment ensures items across the architecture and design worlds stay in sync. Systems engineers can establish a digital thread to navigate between system requirements, architecture models, implementation models, and embedded software.
Target Audience
- Systems Engineers and Architects
- Software Engineers involved in system design and development
- Engineering Professionals seeking to enhance their skills in Model-Based Systems Engineering
- Individuals working with complex systems and seeking to streamline the development process
Learning Objectives
By the end of the MATLAB and Simulink for Model-Based Systems Engineering Workshop, participants will be able to:
- Capture and manage system requirements enabling impact and coverage analysis
- Optimize system architectures by capturing architecture metadata and directly connecting to MATLAB analytics for domain-specific trade studies
- Create simplifying customized model views to isolate the components of interest for different engineering concerns
- Validate requirements and verify system architectures using simulation-based tests
- Translate and refine requirements into architectures with components ready for simulation and implementation using Model-Based Design in Simulink
- Capture and manage system requirements, performing impact and coverage analysis to ensure comprehensive system models
- Optimize system architectures by incorporating architecture metadata and leveraging MATLAB analytics for domain-specific trade studies
- Apply best practices for modeling, simulation, and verification in MATLAB and Simulink, enhancing productivity and efficiency in Model-Based Systems Engineering workflows
Course Outline
Introduction to Model-Based Systems Engineering (MBSE)
- Key concepts of Model-Based Systems Engineering (MBSE)
- Benefits and advantages of using MBSE in system design and development
- Introduction to Model-Based Systems Engineering (MBSE)
- MBSE principles and its benefits in system development
- Overview of the MATLAB and Simulink environment for MBSE
- Overview of MATLAB and Simulink as an integrated environment for MBSE
System Requirements Management
- Capturing and defining system requirements using MATLAB and Simulink
- Organizing and managing requirements hierarchically
- Impact analysis and coverage analysis for requirements
- System Architecture Design and Optimization
- Creating system architecture models in MATLAB and Simulink
- Incorporating architecture metadata for domain-specific trade studies
- Utilizing MATLAB analytics for optimization and decision-making
Customized Systems and System of Systems (SoS) Model Views
- Creating customized model views for different engineering concerns
- Using Simulink tools to isolate components of interest in large-scale models
- Enhancing model readability and usability through visualization techniques
- Validation and Verification of System Architectures
- Developing simulation-based tests to validate system requirements
- Verifying system architectures through simulation and analysis
- Detecting and resolving design issues early in the development process
Model-Based Design in Simulink
- Translating and refining system requirements into detailed architectures
- Implementing components for simulation and code generation in Simulink
- Applying Model-Based Design principles for efficient development
- Integration and Digital Thread
- Establishing a digital thread to connect system requirements, architecture models, and implementation models
- Ensuring consistency and synchronization across different stages of the development process
- Managing changes and updates to the system architecture throughout the project lifecycle
Case Studies and Hands-on Projects
- Practical exercises and hands-on projects to apply the concepts learned
- Solving real-world engineering problems using MATLAB and Simulink for MBSE
- Discussion of case studies showcasing successful MBSE implementations
- Best Practices and Tips for Effective MBSE
- Best practices for modeling, simulation, and verification in MATLAB and Simulink
- Tips to improve productivity and efficiency in MBSE workflows
- Addressing common challenges in MBSE and how to overcome them
- Integration with other engineering tools and systems