Simulation Of Dynamic Systems

  • Linear, nonlinear, continuous-time, discrete-time, time-varying, and hybrid simulation
  • Real-time simulation
  • Interactive, batch, auto-restart, and single step execution modes
  • Integration algorithms : Euler, Trapezoidal, Runge Kutta 2nd and 4th orders, Adaptive Runge Kutta 5th order, Adaptive Adams-Moulton, Adaptive BDF, Stiff Backward Euler
  • Matlab, Mathcad, Maple, and Compose OML integration
  • Triggered compound blocks
  • 1-D, 2-D, and 3-D look-up table
  • "What-If" scenarios
  • 28 matrix operators
  • 11 random distribution functions
  • Parameter optimization
  • Variables for initial conditions and block parameters
  • State checkpointing
  • Implicit system solvers
  • Support for legacy data import (Matlab/Simulink)