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SimGauss™ V2.0
Features

!The model simulation code is written in GAUSS. You can use GAUSS' high level functions such as probability density functions, FFTs, matrix inverse, eigenvalue/eigenvector and SVD functions to quickly simulate complex models and control algorithms. !State vectors and vector derivative equations, e.g. d_x = Ax + Bu where d_x, x and u are vectors and A and B are matrices. Printing and plotting of state vectors is fully supported. You can run multiple versions of the model in one run using parameter vectors. !Parameter optimization using GAUSS' optimization and non-linear equation solvers. With these procedures you can solve two-point boundary value problems and adjust the model's parameters to meet specifications or to match measured data.
!Fully interactive. All the model variables can be displayed and modified from the GAUSS command level. The major simulation control variables can be displayed and edited. !8 Integration algorithms:- Euler, 2nd and 4th order Runge-Kutta, 2nd/3rd and 4th/5th order Runge-Kutta-Fehlberg, Richardson-Bulirsch-Stoer, Adams-Moulton and Gear's stiff method. !Extensive simulation operators including:- Backlash, Bound, Deadband, Delay, Quantization, Limited Integration, Table Lookups and an algebraic equation solver.
!Change integration algorithms during the simulation and log the data at each integration step. !Special SimGauss keywords simplify plotting of time and phase plots for both scalars and vectors. !On-line help and 160 page manual with numerous examples.
!Powerful user events. GAUSS keywords can be scheduled to execute at any time during the simulation to introduce disturbances, change parameter values, turn debugging on, etc. !Extensive error checking on model code, state dimensions and procedure arguments and a special debug command. !The simulation can be halted at any time and the entire workspace saved so you can continue later from the same point.
!Extendable using GAUSS, Fortran, C or Assembler.


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