MATLAB and Simulink engineers for simulation and control

Digiventi provides MATLAB software engineers who join your team to turn engineering calculations into maintainable applications. They can review existing scripts and resolve numerical or performance bottlenecks before extending the codebase.

Work can cover numerical optimisation and signal analysis, with automated data processing where manual preparation slows validation. Engineers structure reusable functions and App Designer interfaces, add tests with MATLAB Unit Test, and profile execution against representative datasets. Existing numerical assumptions remain explicit so changes can be checked against agreed reference results.

Control systems and simulation specialists develop models for controller design and investigate behaviour that is difficult or costly to reproduce on hardware.

• Plant modelling: Build Simulink or Simscape models from physical parameters and measured data. Compare simulation outputs with test measurements before using the model for design decisions.
• Controller design: Use Control System Toolbox for controller tuning and stability analysis. Implement supervisory logic in Stateflow and test responses to disturbances or actuator limits across defined operating conditions.

Embedded software engineers prepare MATLAB algorithms and Simulink models for production code generation with MATLAB Coder or Embedded Coder. They review model structure and data types against the target processor's constraints.

Integration work covers generated C/C++ interfaces and connections to existing firmware. Engineers configure fixed-step execution and fixed-point arithmetic where required, then compare generated-code outputs with model references. Processor-in-the-loop testing can expose numerical differences and execution-time limits before the software is integrated with physical equipment.

MATLAB and Simulink specialists maintain existing applications when model defects or release changes interrupt engineering work. They trace failures to code or configuration and check proposed changes against reproducible test cases.

Using Simulink Test and Simulink Coverage, engineers build regression suites and identify untested model behaviour. Work can include software-in-the-loop and hardware-in-the-loop validation, with test automation connected to an existing CI pipeline. Release upgrades receive compatibility checks against dependent toolboxes and reference outputs before the updated environment is adopted.