the development of high-integrity systems is complex, with considerable schedule and cost risks. model-based systems engineering (mbse) is a core enabling function to ensure these risks are managed and mitigated. model-based design with matlab® and simulink® supports systems engineering throughout the product development life cycle.
if you are establishing new systems engineering processes, or considering migration from or integration with other tools, a proof of concept (poc) project with mathworks consulting engineers can demonstrate systems engineering enablement support specifically addressing these needs.
learn how to:
- capture and manage system requirements enabling impact and coverage analysis
- optimise system architectures by capturing architecture metadata and directly connecting to matlab analytics for domain-specific trade studies
- create simplified 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