Sherpa Engineering offers training modules in relation to methods, technologies and products belonging to the system approach. We include numerous real examples in the courses coming from our field experience in the technologies included in our catalog.

Our training has been conceived for specialists in modeling and control systems who want to benefit from practical cases and acquire knowledge in cutting-edge technology.

In addition to our catalog modules we can customize upon request the training sessions for your projects and take into account your engineering tools.

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Our catalog

System approach and model-oriented engineering

This training aims at providing a global system approach to system engineers:

  • Needs and requirements taken in the acquisition process
  • Model-oriented system engineering from specifications to qualification
  • All life cycle phases from design and development to operations and phase-out


These modules are designed to improve theoretical and practical aspects of system modeling:

  • Dynamic modeling based on Bond-Graph method
  • Bond-Graph applications to mechatronic and energy systems
  • Non-linear system modeling


Several modules for the design of control systems are available:

  • Dynamic linear system analysis
  • Control systems
  • Theory and applications of functional predictive control
  • Introduction to multi-variable predictive control and practical exercises

Software solutions

Training explains functionalities and usage of the following software solutions:

  • PHISIM module for system modeling
  • MATLAB modules: introduction and advanced
  • SIMULINK module
  • STATEFLOW module
  • SimulationX module for mechatronic applications


The following topics have a strong scientific content in our training modules:

  • Static and dynamic behavior of hydraulic components
  • Interlock of hydraulic systems
  • Rotary engine technology and usage
  • Control systems for electrical actuators


Two modules are available:

  • Air conditioning: design, modeling and validation of an air conditioning system and its control.
  • Thermal engine: modeling of internal combustion engines and usage of a simulator for requirements validation.